Skip to main content

Comparison of two frailty screening tools in older patients with colorectal cancer



Geriatric assessment (GA) is widely used to detect vulnerability in older patients. As this process is time-consuming, prescreening tools have been developed to identify patients at risk for frailty. We aimed to assess whether the Geriatric 8 (G8) or the Korean Cancer Study Group Geriatric Score (KG-7) shows better performance in identifying patients who are in need of full GA.

Materials and methods

A consecutive series of patients aged ≥ 60 years with colorectal cancer were included. The sensitivity, specificity, predictive value, and 95% confidence intervals (95% CI) were calculated for the G8 and the KG-7 using the results of GA as the reference standard. ROC(Receiver Operating Characteristic) was used to evaluate the accuracy of the G8 and the KG-7.


One hundred four patients were enrolled. A total of 40.4% of patients were frail according to GA, and 42.3% and 50.0% of patients were frail based on the G8 and the KG-7, respectively. The sensitivity and specificity of the G8 were 90.5% (95% CI: 77.4–97.3%) and 90.3% (95% CI: 80.1–96.4%), respectively. For the KG-7, the sensitivity and specificity were 83.3% (95% CI: 68.6–93.0%) and 72.6% (95% CI: 59.8–83.1%), respectively. Compared to the KG-7, the G8 had a higher predictive accuracy (AUC: (95% CI): 0.90 (0.83–0.95) vs. 0.78 (0.69–0.85); p < 0.01). By applying the G8 and the KG-7, 60 and 52 patients would not need a GA assessment, respectively.


Both the G8 and the KG-7 showed a great ability to detect frailty in older patients with colorectal cancer. In this population, compared to the KG-7, the G8 had a better performance in identifying those in need of a full Geriatric Assessment.

Peer Review reports


Frailty is a clinical state that increases the likelihood of adverse health outcomes and deterioration in the physiological capacity of several organ systems [1, 2]. Frailty accelerates the decrease in physiological reserve, thus increasing susceptibility to [3]. When faced with the same stressful events, frail individuals have more severe functional loss and are less likely to complete recovery than individuals without [2]. The prevalence of frailty increases with age. With the increase in global ageing, frailty has become a hot spot in the field of geriatrics in recent years.

The incidence of frailty in older cancer patients is significantly higher than that in people of the same age [4], as both cancer itself and the treatments might be significant additional stressors that challenge the physiological reserves of patients [5]. Colorectal cancer remains the most commonly diagnosed cancer among older persons globally, and surgery is often the recommended [6]. Due to the increased focus on value-based care, some older patients may prefer a better quality of life rather than sacrificing well-being for the possibility of more prolonged [7]. Current treatment plans in cancer care are based on less evidence and heterogeneity in the ageing process. However, chronological age does not describe this well. Frailty assessments can detect more health problems, prevent function deterioration, and determine the most feasible cancer [8]. For patients undergoing surgery, a frailty assessment can help predict whether the patient will benefit from surgery and tolerate the inherent iatrogenic [9]. Frailty assessment is also vital in deciding if a patient could benefit from the proposed [5, 10]. Therefore, it is necessary to assess the frailty degree of older patients with cancer to optimize personalized care strategies.

Geriatric assessment (GA) is one of the most widely used frailty assessments in cancer patients. GA is a complex and time-consuming process. Hence, some researchers have proposed a two-step approach, which includes using a simpler screening tool first to identify patients who might benefit from the [11]. There are currently several frailty screening tools for older patients, including the Groningen Frailty Indicator (GFI), the Vulnerable Elders Survey-13 (VES-13), the Geriatric 8 (G8), and the Korean Cancer Study Group Geriatric Score (KG-7)[12]. The GFI is a frailty self-assessment tool with good psychometric [13], and the VES-13 was developed to screen community-dwelling older people who are at risk of functional [14,15,16]. Both the G8 and the KG-7 were designed to screen for frailty in older patients with cancer. The KG-7 is a novel geriatric screening tool. Shorter screening tools are able to identify patients who might benefit from a full GA. In this study, the G8 and the KG-7 were compared as screening tools for detecting frailty in older patients with colorectal cancer based on a reference text of ≥ 2 deficits in GA.

Materials and methods


The patients were recruited from the Outpatient and Inpatient Department of Agroecology, Tianjin People’s Hospital, from October 2020 to April 2021. Patients were enrolled in a consecutive manner based on criteria. The inclusion criteria were being 60 years or older, being newly diagnosed with colorectal cancer, and being able to understand and communicate in Chinese. The exclusion criteria were having severe dementia, symptoms of brain metastasis, or serious neurological and psychiatric problems. The medical students went to the department office to determine with the doctors which patients met the criteria and summarized the information of these patients. All patients were informed about the study and gave written consent. The study was approved by the Ethics and Clinical Research Committee of Tianjin Medical University, which confirmed that the study followed the Declaration of Helsinki.

We use the equation below to calculate the sample size:

$$N = U^{2}_{1 - \alpha /2} {P_0}\left( {1 - {P_0}} \right)/{d^2}$$

where P0 represents the prevalence of frailty, which we set as 42%[17], ɑ represents the accepted small probability of a false-positive result, which is 0.05 in this study, and d represents the admissible error. Thus, the sample size was calculated to be 121, and the final sample size was estimated to be 146 by considering a 20% rate of no-response and lost visit cases. However, due to the managed lockdown and the decreasing number of inpatients during COVID-19, 115 patients were finally enrolled.

Data collection

Investigators, including doctors, nurses from relevant departments, and medical graduate students, were trained through meetings to master the survey content and process. Participants were surveyed after admission to the hospital and before surgery. General information and disease-related information were collected by medical students from an integrated medical record system. The MCIRS-G was assessed with the assistance of a doctor. The results of the ADL, IADL, MNA GDS-15, MOSS-SSS, and two screening tools were assessed at the bedside by medical students through face-to-face interviews of patients and families. Telephone surveys were used as a supplement for face-to-face interviews during the COVID-19 pandemic. Nurses measured the TUG, MMSE, mid-arm circumference, and calf circumference.

Geriatric assessment (GA)

GA was performed by several reliable and valid tools to evaluate seven clinical domains with different cut-off values (Table 1). The function was assessed by the Barthel index and Lawton-Brody Instrumental Activity of Daily [18, 19]. The time up and go test (TUG) was used to assess [20]. The nutrition domain was evaluated using the Mini Nutritional Assessment questionnaire (MNA)[21]. Comorbidity was measured using the Modified Cumulative Illness Rating Scale (MCIRS-G)[22, 23]. The Mini-Mental State Examination (MMSE) was used to evaluate cognitive [24]. The Geriatric Depression Scale-15 (GDS-15) was used to assess [25]. The Medical Outcomes Study Social Support Survey (MOS-SSS) was used to evaluate social [26, 27]. The number of medications was used to assess [28]. We defined patients with ≥ 2 deficits in GA as vulnerable based on the impairment cut-off score, as was done in prior studies (see Table 1)[14, 29].

Frailty screening tools

The G8 questionnaire was proposed by Bellera et al. in 2012 in a regional multicenter prospective [30, 31]. The G8 questionnaire consists of 8 items, including seven questions from the Mini Nutritional Assessment (MNA) and age, which are divided into three categories (< 80, 80–85, > 85). Seven questions from the MNA focus on food intake, weight loss, mobility, psychological status, body mass index, number of medications, and self-perception of health. The 8 items provide a total score ranging from 0 to 17 (no impairment). A score of ≤ 14 indicates frailty.

The KG-7 was recently developed as a screening tool for older patients to select who could benefit from complete [32]. The KG-7 is composed of 7 easy questions originating from GA distributed across different scales, including “bathing and showering” and “ascending stairs” (ADL), “shopping” (IADL), “self-view of nutritional status” and “number of medications” (MNA), “orientation of time and place” (MMSE) and “decline in interest” (GDS). Each question was answered “yes” or “no” with a total score ranging from 0 (heavily impaired) to 7 (no impairment). For “number of medications” and “decline in interest”, the negative answer was scored one point, and the positive answer was not scored, while for the remaining questions, the positive answer was scored [33]. Patients with a KG-7 score ≤ 5 should be regarded as frail.

Table 1 Cut-off value for different tests used

Statistical analysis

The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and 95% confidence intervals (95% CI) of the screening tests were calculated using the original cut-off value from the literature. We used receiver operating characteristic (ROC) curve analysis to evaluate the diagnostic performance of the G8 and the KG-7 for the frail individuals. The DeLong test was used for the comparison of the two ROC curves[34]. Sensitivity and specificity according to different cut-off values were calculated and compared with the originals to establish the optimal cut-off points, which were determined by Youden’s index. In all analyses, the significance level was set at 5%. Data were analyzed using SAS 9.4 for Windows. ROC analyses were performed using MedClac software.


Characteristics of patients

A total of 115 patients meeting the criteria were enrolled. Among them, nine people lacked BMI, and two lacked mid-arm circumference and calf circumference. One hundred and four patients were finally included in the study. There were no missing data for the G8, KG-7 items, or GA findings among 104 patients (Fig. 1). Few data were missing for the tumour characteristics: 17.3% in the Dukes stage and 11.5% in distant metastasis. The mean age was 68.7 ± 6.9 years old, and 62.5% of patients were males. More than half of the patients were aged between 60 and 70. In addition, the majority were married (97.1%), had an education level of less than high school (74.1%), had 56 patients (53.9%) in Dukes’ stage A or B and had nonmetastatic disease (83.7%)(Table 2).

Fig. 1
figure 1

Flow chart of analytic sample

Table 2 Demographic and clinical characteristics of the patients

GA results

Forty-two patients (40.4%) had two or more impairments assessed by GA. Sixteen patients had no impairment in GA, and six patients had four deficits in GA, which is the highest score. Patients with mobility field deficits are the most numerous, followed by the nutrition field. Patients with deficits in cognition or depression were the least common(Table 3).

Table 3 Impairment on the individual scales, Geriatric Assessment

Results of the G8

According to the cut-off value of ≤ 14, 44 patients (42.3%) had an abnormal G8 result. The mean G8 score was 14.0 (SD: 2.3), 12.3 (SD: 2.1) for patients with abnormal GA, and 15.2 (SD: 1.4) for those with normal GA. Six patients were misidentify as frail by the G8, and they all had severe weight loss. Four patients misidentified as non-frail, and all had deficits in mobility (Table 4).

Using GA as the gold standard, the sensitivity and specificity were 90.5% (95% CI: 77.4–97.3%) and 90.3% (95% CI: 80.1–96.4%), respectively. The PPV was 86.4% (95% CI: 74.6–93.2%), and the NPV was 93.3% (95% CI: 84.6–97.3%). The best cut-off value for identifying frailty in our population was estimated at a G8 score ≤ 14 (Table 5).

Table 4 The results of two screening tools compared with GA (n%)

Results of the KG-7

The KG-7 screened 52 patients (50%) as positive for complete GA. The mean KG-7 score was 5.3 (SD: 1.0), 5.8 (SD: 0.5) in patients with normal GA, and 4.6 (SD: 1.1) in those with abnormal GA. Only 5 people answered no to item 1(“Can you take a shower or bath without help?”), 7 people answered no to item 3(“Can you take care of all shopping needs independently?”), and all of the patients endorsed item 6(“What year, month, and day is this?”) (Table 4).

For the cut-off value ≤ 5, the sensitivity and specificity were 83.3% (95% CI: 68.6–93.0%) and 72.6% (95% CI: 59.8–83.1%), respectively, and the PPV and NPV were 67.3% (95% CI: 57.3–75.9%) and 86.5% (95% CI: 76.3–92.8%), respectively. In this study, the optimal cut-off value for identifying frail patients was estimated at a KG-7 score ≤ 5, consistent with previous studies’ results (Table 5).

Table 5 Diagnostic values for the G8 and KG-7 at different cut-off values

Comparisons of predictive accuracy

As shown in Fig. 2, using GA as a reference standard, the AUCs of the G8 and the KG-7 were 0.90(95% CI: 0.83–0.95) and 0.78(95% CI: 0.69–0.85),respectively, indicating acceptable or good accuracy. ROC contrasts showed that the G8 had a significantly better ability than the KG-7 to distinguish patients with a normal GA and patients with an abnormal GA (z = 2.80; p < 0.05). Thus, the G8 is superior to the KG-7 for identifying patients who need a full GA. When using the G8 compared to the KG-7, fewer GAs would have been performed (42.3% instead of 50.0%).

Fig. 2
figure 2

ROC curves of the G8 and the KG-7


To identify frailty in cancer patients, the International Society of Geriatric Oncology (SIOG) recommended using GA in patients with cancer. Since completing a GA is time-consuming, researchers have proposed a two-step approach that uses a pre-screening tool before the GA. In this study, we evaluated two screening tools’ capacity to identify older patients with colorectal cancer who were in need of accepting GA. The results showed that both the G8 and the KG-7 could differentiate patients who were positive for implementing GA. The G8 has higher accuracy in identifying frail patients. The best cut-off value of the G8 and the KG-7 were consistent with previous [30, 32].

In our sample, 40.4% had ≥ 2 impairments in GA. This result was close to similar studies with older patients with colorectal [35, 36]. Mobility and nutrition impairments have been detected in most patients. Mobility assessed the balance and gait speed of patients and was important in determining patients’ fitness for treatment. Older patients with colorectal cancer face many factors that deteriorate mobility that are observed in the general older population. In addition, there are disease-related disorders, including bowel dysfunction, pain, and [37]. Physical therapy, occupational therapy, and promoting physical activity were used as [38]. Emerging evidence proves that physical activity, which reduces the risk of mobility restrictions and increases independence, is beneficial for individuals with colorectal cancer, even at a low intensity [39]. The nutrition domain has been associated with the risk of malnutrition and indicates poorer nutrition and lower chemotherapy [40]. Adherence to an unhealthy lifestyle and dietary habits are risk factors for colorectal cancer incidence. Malnutrition has a high prevalence in colorectal cancer [41]. The effect of lower dietary intake, ageing, and the tumour resulted in a decline in nutrition status, which can lead to a complex malnutrition syndrome with an impact on [42]. Patients who are abnormal in nutrition should be referred to a nutritionist. According to a previous RCT, optimal nutrition management can improve frailty in older [43].

Compared to the KG-7, the G8 had higher sensitivity, specificity, and AUC, consistent with the previous [32]. According to the G8, fewer non-frail patients were regarded as needing full GA compared to the KG-7 (4 in the G8 vs. 7 in the KG-7), thus reducing the number of unnecessary GAs. Therefore, the G8 was superior for assessing older colorectal cancer patients. Several studies have validated the ability of the G8 to identify older cancer patients who may benefit from GA [29, 31]. Although the effectiveness of the G8 varied according to the tumour [31, 44], G8 maintains a high level of sensitivity to detect [45]. In previous studies, the superior sensitivity (77.0-98.0%) of the G8 was always expensing the specificity (60.0-91.0%), inducing a high number of false-[29, 46,47,48]. However, in this study, both the sensitivity and specificity were high. High sensitivity and specificity were also reported by Velghe et al.[49]. This may be caused by the dominance of the nutrition domain in the G8 and the result that nutrition was the second most impaired domain in this study.

The G8 showed oversensitive to malnutrition and under-sensitive to mobility. To further modify the G8, we propose to raise the score of the weight loss item (loss of weight during the last months) in the G8 to limit false-positives, which is consistent with Martinez-Tapia et al.[44]. Moreover, we also recommend enhancing mobility assessment to limit false-negatives using methods such as adding relevant items, an idea consistent with Petit-Monéger et al.[50]. The KG-7 shows a defect in its content, as certain items had few negative answers. We recommend changing the answer to the question to multiple options to improve the ability to distinguish between frail and non-frail individuals. Indeed, our opinion about improving the G8 and the KG-7 needs to be proven by more studies based on large populations.

The best cut-off values for the G8 and the KG-7 were 14 and 5, respectively. We contrasted the sensitivity and specificity of different cut-off values to find the optimal cut-off that can provide good sensitivity without excessively deteriorating the specificity. The best cut-off values for the G8 and the KG-7, as confirmed by ROC analysis in this study, were consistent with findings from previous [30, 32].

To our knowledge, this is the first study to evaluate the effectiveness of the G8 among Chinese cancer patients. Although we only applied the G8 in frailty screening in colorectal cancer patients, we hope this first attempt could provide insight into using the G8 in other types of cancer patients in China. We confirmed the effectiveness of two shorter screening tools, i.e., the G8 and KG-7, for identifying vulnerable populations. We tried to reduce the demand for GA since China has the most significant number of cases and a shortage of healthcare workers worldwide. The KG-7 was chosen for comparison to the G8 because it targets the Asian population. We aimed to confirm that the G8 could also be used among to Asians.

The results of this study should be interpreted with caution due to the following limitations. First, we faced some limitations related to COVID-19. Our evaluation was based on a small sample, as COVID-19 pandemic led to a lower volume of patients at the time of enrolment. If the period of enrolling participants had been extended, the study might have achieved greater statistical power. The lockdown impacted patients’ interactions with investigators, so telephone interviews were used as a supplement to face-to-face interviews. Telephone interviews might lead to a loss of visual and other nonverbal cues, but it is a suitable method considering available resources in such an extraordinary period. Second, the population we have finally included is relatively young. The young age of the study participants may influence the comparison between the G8 and KG-7. Older subjects have more mobility deficits, and the G8 has lower discrimination on this issue than the KG-7. The performance of the G8 might decrease in older subjects. Finally, fewer comorbidities and cognitive deficits in our population may be caused by volunteer bias. The number of comorbidities increases with age, and the younger population results in fewer comorbidity deficits. We excluded patients with severe mental illness, resulting in fewer cognitive deficits in our people. Thus, caution is indicated before generalizing results to the general population.


In summary, we have offered evidence that both the G8 and the KG-7 have adequate abilities to identify frailty in older patients with colorectal cancer. The G8 has a better capacity to detect who should receive the GA in this population.

Data Availability

The raw data used in this analysis are available from the corresponding author upon reasonable request.



Geriatric Assessment


Receiver Operating Characteristic


Geriatric 8


Korean Cancer Study Group Geriatric Score


Groningen Frailty Indicator


Vulnerable Elders Survey-13


Activities of Daily Living


Instrumental Activities of Daily Living Scale


Time up and go test


Mini Nutritional Assessment questionnaire


Modified Cumulative Illness Rating Scale


Mini-Mental State Examination


Geriatric depression Scale-15


Medical Outcomes Study Social Support Survey


Confidence interval


Positive predictive value


Negative predictive value


The International Society of Geriatric Oncology


randomized and controlled clinical trials


  1. Dent E, Martin FC, Bergman H, Woo J, Romero-Ortuno R, Walston JD. Management of frailty: opportunities, challenges, and future directions. Lancet. 2019;394(10206):1376–86.

    Article  PubMed  Google Scholar 

  2. Cesari M, Calvani R, Marzetti E. Frailty in older persons. Clin Geriatr Med. 2017;33(3):293–303.

    Article  PubMed  Google Scholar 

  3. Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet. 2013;381(9868):752–62.

    Article  PubMed  Google Scholar 

  4. Mohile SG, Xian Y, Dale W, Fisher SG, Rodin M, Morrow GR, Neugut A, Hall W. Association of a cancer diagnosis with vulnerability and frailty in older Medicare beneficiaries. J Natl Cancer Inst. 2009;101(17):1206–15.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Ethun CG, Bilen MA, Jani AB, Maithel SK, Ogan K, Master VA. Frailty and cancer: implications for oncology surgery, medical oncology, and radiation oncology. CA Cancer J Clin. 2017;67(5):362–77.

    Article  PubMed  Google Scholar 

  6. Onyoh EF, Hsu W-F, Chang L-C, Lee Y-C, Wu M-S, Chiu H-M. The rise of Colorectal Cancer in Asia: Epidemiology, Screening, and management. Curr Gastroenterol Rep. 2019;21(8):36.

    Article  PubMed  Google Scholar 

  7. Doolin JW, Halpin M, Berry JL, Hshieh T, Zerillo JA. Why focus on patient-reported outcome measures in older colorectal cancer patients? Eur J Surg Oncol. 2020;46(3):394–401.

    Article  PubMed  Google Scholar 

  8. Maas HAAM, Janssen-Heijnen MLG, Olde Rikkert MGM, Machteld Wymenga AN. Comprehensive geriatric assessment and its clinical impact in oncology. Eur J Cancer. 2007;43(15):2161–9.

    Article  PubMed  Google Scholar 

  9. Hoogendijk EO, Afilalo J, Ensrud KE, Kowal P, Onder G, Fried LP. Frailty: implications for clinical practice and public health. Lancet. 2019;394(10206):1365–75.

    Article  PubMed  Google Scholar 

  10. Balducci L, Stanta G. Cancer in the frail patient. A coming epidemic. Hematol Oncol Clin North Am 2000, 14(1).

  11. Rostoft S, O’Donovan A, Soubeyran P, Alibhai SMH, Hamaker ME. Geriatric Assessment and Management in Cancer. J Clin Oncology: Official J Am Soc Clin Oncol. 2021;39(19):2058–67.

    Article  Google Scholar 

  12. Hamaker ME, Jonker JM, de Rooij SE, Vos AG, Smorenburg CH, van Munster BC. Frailty screening methods for predicting outcome of a comprehensive geriatric assessment in elderly patients with cancer: a systematic review. Lancet Oncol. 2012;13(10):e437–44.

    Article  PubMed  Google Scholar 

  13. Xiang W, Cheng Y, Li Z, Han J, Li K. Cross-cultural adaptation and validation of the Groningen Frailty Indicator in chinese nursing home residents. Aging Clin Exp Res. 2020;32(6):1035–42.

    Article  PubMed  Google Scholar 

  14. Molina-Garrido MJ, Guillen-Ponce C. Comparison of two frailty screening tools in older women with early breast cancer. Crit Rev Oncol Hematol. 2011;79(1):51–64.

    Article  CAS  PubMed  Google Scholar 

  15. Poh AWY, Teo SP. Utility of Frailty Screening Tools in Older Surgical Patients. Ann Geriatr Med Res. 2020;24(2):75–82.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Saliba D, Elliott M, Rubenstein LZ, Solomon DH, Young RT, Kamberg CJ, Roth C, MacLean CH, Shekelle PG, Sloss EM, et al. The vulnerable Elders Survey: a tool for identifying vulnerable older people in the community. J Am Geriatr Soc. 2001;49(12):1691–9.

    Article  CAS  PubMed  Google Scholar 

  17. Fagard K, Leonard S, Deschodt M, Devriendt E, Wolthuis A, Prenen H, Flamaing J, Milisen K, Wildiers H, Kenis C. The impact of frailty on postoperative outcomes in individuals aged 65 and over undergoing elective surgery for colorectal cancer: a systematic review. J Geriatr Oncol. 2016;7(6):479–91.

    Article  PubMed  Google Scholar 

  18. Mahoney FI, Barthel DW. FUNCTIONAL EVALUATION: THE BARTHEL INDEX. Md State Med J. 1965;14:61–5.

    CAS  PubMed  Google Scholar 

  19. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969;9(3):179–86.

    Article  CAS  PubMed  Google Scholar 

  20. Bischoff HA, Stähelin HB, Monsch AU, Iversen MD, Weyh A, von Dechend M, Akos R, Conzelmann M, Dick W, Theiler R. Identifying a cut-off point for normal mobility: a comparison of the timed ‘up and go’ test in community-dwelling and institutionalised elderly women. Age Ageing. 2003;32(3):315–20.

    Article  PubMed  Google Scholar 

  21. Guigoz Y, Vellas B, Garry PJ. Assessing the nutritional status of the elderly: the Mini Nutritional Assessment as part of the geriatric evaluation. Nutr Rev. 1996;54(1 Pt 2):59–S65.

    Google Scholar 

  22. Linn BS, Linn MW, Gurel L. Cumulative illness rating scale. J Am Geriatr Soc. 1968;16(5):622–6.

    Article  CAS  PubMed  Google Scholar 

  23. Miller MD, Paradis CF, Houck PR, Mazumdar S, Stack JA, Rifai AH, Mulsant B, Reynolds CF. Rating chronic medical illness burden in geropsychiatric practice and research: application of the cumulative illness rating scale. Psychiatry Res. 1992;41(3):237–48.

    Article  CAS  PubMed  Google Scholar 

  24. Folstein MF, Folstein SE, McHugh PR. Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–98.

    Article  CAS  PubMed  Google Scholar 

  25. Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, Leirer VO. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982;17(1):37–49.

    Article  PubMed  Google Scholar 

  26. Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32(6):705–14.

    Article  CAS  PubMed  Google Scholar 

  27. Yu DSF, Lee DTF, Woo J. Psychometric testing of the chinese version of the medical outcomes study social support survey (MOS-SSS-C). Res Nurs Health. 2004;27(2):135–43.

    Article  PubMed  Google Scholar 

  28. Maggiore RJ, Gross CP, Hurria A. Polypharmacy in older adults with Cancer. Oncologist. 2010;15(5):507–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Baitar A, Van Fraeyenhove F, Vandebroek A, De Droogh E, Galdermans D, Mebis J, Schrijvers D. Evaluation of the Groningen Frailty Indicator and the G8 questionnaire as screening tools for frailty in older patients with cancer. J Geriatr Oncol. 2013;4(1):32–8.

    Article  PubMed  Google Scholar 

  30. Bellera CA, Rainfray M, Mathoulin-Pélissier S, Mertens C, Delva F, Fonck M, Soubeyran PL. Screening older cancer patients: first evaluation of the G-8 geriatric screening tool. Ann Oncol. 2012;23(8):2166–72.

    Article  CAS  PubMed  Google Scholar 

  31. Soubeyran P, Bellera C, Goyard J, Heitz D, Curé H, Rousselot H, Albrand G, Servent V, Jean OS, van Praagh I, et al. Screening for vulnerability in older cancer patients: the ONCODAGE prospective Multicenter Cohort Study. PLoS ONE. 2014;9(12):e115060.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Kim JW, Kim S-H, Kim YJ, Lee K-W, Kim K-I, Lee JS, Kim C-H, Kim JH. A Novel Geriatric Screening Tool in older patients with Cancer: the Korean Cancer Study Group Geriatric score (KG)-7. PLoS ONE. 2015;10(9):e0138304.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Kim JW, Kim SH, Lee Y-G, Hwang IG, Kim JY, Koh S-J, Ko YH, Shin SH, Woo IS, Hong S, et al. Prospective validation of the Korean Cancer Study Group Geriatric score (KG)-7, a Novel Geriatric Screening Tool, in older patients with Advanced Cancer Undergoing First-line Palliative Chemotherapy. Cancer Res Treat. 2019;51(3):1249–56.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983;148(3):839–43.

    Article  CAS  PubMed  Google Scholar 

  35. Falci C, Gianesin K, Sergi G, Giunco S, De Ronch I, Valpione S, Soldà C, Fiduccia P, Lonardi S, Zanchetta M, et al. Immune senescence and cancer in elderly patients: results from an exploratory study. Exp Gerontol. 2013;48(12):1436–42.

    Article  CAS  PubMed  Google Scholar 

  36. Bessems SAM, Konsten JLM, Vogelaar JFJ, Csepán-Magyar R, Maas HAAM, van de Wouw YAJ, Janssen-Heijnen MLG. Frailty screening by Geriatric-8 and 4-meter gait speed test is feasible and predicts postoperative complications in elderly colorectal cancer patients. J Geriatr Oncol. 2021;12(4):592–8.

    Article  CAS  PubMed  Google Scholar 

  37. Fisher A, Wardle J, Beeken RJ, Croker H, Williams K, Grimmett C. Perceived barriers and benefits to physical activity in colorectal cancer patients. Support Care Cancer. 2016;24(2):903–10.

    Article  PubMed  Google Scholar 

  38. Mohile SG, Velarde C, Hurria A, Magnuson A, Lowenstein L, Pandya C, O’Donovan A, Gorawara-Bhat R, Dale W. Geriatric Assessment-Guided care processes for older adults: a Delphi Consensus of Geriatric Oncology experts. J Natl Compr Canc Netw. 2015;13(9):1120–30.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Billot M, Calvani R, Urtamo A, Sánchez-Sánchez JL, Ciccolari-Micaldi C, Chang M, Roller-Wirnsberger R, Wirnsberger G, Sinclair A, Vaquero-Pinto N, et al. Preserving mobility in older adults with physical Frailty and Sarcopenia: Opportunities, Challenges, and recommendations for physical activity interventions. Clin Interv Aging. 2020;15:1675–90.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Hernandez Torres C, Hsu T. Comprehensive Geriatric Assessment in the older adult with Cancer: a review. Eur Urol Focus. 2017;3(4–5):330–9.

    Article  PubMed  Google Scholar 

  41. Nishiyama VKG, Albertini SM, Moraes CMZGd, Godoy MFd, Netinho JG. MALNUTRITION AND CLINICAL OUTCOMES IN SURGICAL PATIENTS WITH COLORECTAL DISEASE. Arq Gastroenterol. 2018;55(4):397–402.

    Article  PubMed  Google Scholar 

  42. Barao K, Abe Vicente Cavagnari M, Silva Fucuta P, Manoukian Forones N. Association between Nutrition Status and Survival in Elderly Patients with Colorectal Cancer. Nutr Clin Pract. 2017;32(5):658–63.

    Article  PubMed  Google Scholar 

  43. Hsieh T-J, Su S-C, Chen C-W, Kang Y-W, Hu M-H, Hsu L-L, Wu S-Y, Chen L, Chang H-Y, Chuang S-Y, et al. Individualized home-based exercise and nutrition interventions improve frailty in older adults: a randomized controlled trial. Int J Behav Nutr Phys Act. 2019;16(1):119.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Martinez-Tapia C, Canoui-Poitrine F, Bastuji-Garin S, Soubeyran P, Mathoulin-Pelissier S, Tournigand C, Paillaud E, Laurent M, Audureau E. Optimizing the G8 Screening Tool for older patients with Cancer: diagnostic performance and validation of a six-item version. Oncologist. 2016;21(2):188–95.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Garcia MV, Agar MR, Soo W-K, To T, Phillips JL. Screening tools for identifying older adults with Cancer who May Benefit from a geriatric Assessment: a systematic review. JAMA Oncol. 2021;7(4):616–27.

    Article  PubMed  Google Scholar 

  46. Bruijnen CP, Heijmer A, van Harten-Krouwel DG, van den Bos F, de Bree R, Witteveen PO, Emmelot-Vonk MH. Validation of the G8 screening tool in older patients with cancer considered for surgical treatment. J Geriatr Oncol. 2021;12(5):793–8.

    Article  CAS  PubMed  Google Scholar 

  47. Cavusoglu C, Tahtaci G, Dogrul RT, Ileri I, Yildirim F, Candemir B, Kizilarslanoglu MC, Uner A, Goker B. Predictive ability of the G8 screening test to determine probable sarcopenia and abnormal comprehensive geriatric assessment in older patients with solid malignancies. BMC Geriatr. 2021;21(1):574.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Shah M, Noronha V, Ramaswamy A, Gattani S, Mokal S, Joshi A, Patil V, Menon N, Banavali S, Badwe R, et al. G8 and VES-13 as screening tools for geriatric assessment and predictors of survival in older indian patients with cancer. J Geriatr Oncol. 2022;13(5):720–30.

    Article  CAS  PubMed  Google Scholar 

  49. Velghe A, Petrovic M, De Buyser S, Demuynck R, Noens L. Validation of the G8 screening tool in older patients with aggressive haematological malignancies. Eur J Oncol Nurs. 2014;18(6):645–8.

    Article  PubMed  Google Scholar 

  50. Petit-Monéger A, Rainfray M, Soubeyran P, Bellera CA, Mathoulin-Pélissier S. Detection of frailty in elderly cancer patients: Improvement of the G8 screening test. J Geriatr Oncol 2016, 7(2).

Download references


We thank and appreciate the cooperation of all the participants in this study who gave their time and described their experiences, without whom our work would not have been possible.


The present study was supported by the National Natural Science Foundation of China. (grant number: 72074166). The funding organization had no role in the design or conduct of this research.

Author information

Authors and Affiliations



Conception and Design: GH de Bock, Wenli Lu.

Data Collection: Danmei Wei, Xinlin Lu, Lizhong Zhao

Analysis and Interpretation of Data: Han Zhao, Danmei Wei, Yuan Wang, Senshuang Zheng

Manuscript Writing: Han Zhao, Xinlin Lu

Corresponding author

Correspondence to Wenli Lu.

Ethics declarations

Ethics approval and consent to participate

All patients were informed about the study and gave written consent. The study was approved by the Ethics and Clinical Research Committee of Tianjin Medical University, which confirmed that the study followed the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests


Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, H., Lu, X., Zheng, S. et al. Comparison of two frailty screening tools in older patients with colorectal cancer. BMC Geriatr 23, 295 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: