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. 2019 Nov 12;25(2):170–182. doi: 10.1634/theoncologist.2019-0600

Table 3.

Sarcopenia assessment and clinical outcomes (n = 3,146 patients)

Author [reference], year, country n Sarcopenia definition [reference] Use of hand grip and/or physical performance BIA equipment Percent sarcopenia Associations of sarcopenia with clinical outcomes Age, years
Perez Camargo 42, 2017, Mexico 628

SMI:

Men <8.87 kg/m2

Women <6.42 kg/m2 71

No InBody 720 (Biospace, Tokyo, Japan) Multi‐frequency 46% Sarcopenic patients had worse survival (HR 1.4; 95% CI 1.1–1.8; p = .001). Also, more fatigue (p < .0001), pain (p = .008), insomnia (p = .032), and constipation (p = .041).

Median: 57

Range: 19–89

Otten 27, 2019, Germany 439

SMI:

Men <10.75 kg/m2

Women <6.75 kg/m2 2

No Nutriguard M (Data‐Input GmbH) Multi‐frequency 27.1%

Observational: Sarcopenia was associated with lower 1‐year overall mortality (HR 1.53; 95% CI 1.034–2.25; p < .05).

Sarcopenia was nearly as predictive of 1‐year mortality from advanced disease.

Mean: 69.6

SD: 6.2

Oflazoglu 43, 2019, Turkey 461

SMI:

Men <10.76 kg/m2

Women <6.76 kg/m2 2

Yes

TANITA SC 330 (Tanita Corp., Japan)

Single frequency

16.7%

Observational: Identified the prevalence of sarcopenia in newly diagnosed patients with cancer.

Sarcopenia was more prevalent in patients who were older (p = .03) and who had a higher ECOG score (p = .02).

Mean: 58.2

SD: (11.1)

Harter 28, 2017, Brazil 60

SMI:

Men <7.0 kg/m2

Women <6.0 kg/m2 2

Yes

Quantum II (RJL Systems)

Multi‐frequency

18.6% Observational: No difference in sarcopenic patients with regard to severe postoperative (grade 3, 4, 5) complications (18.2% vs. 12.5%, p = .635).

18–39 (18%)

40–59 (36%)

>60 (45%)

Gonzalez 29, 2014, Brazil 175

FFMI (kg/m2) 72

Men <17.4 kg/m2

Women <15.0 kg/m2

No

Quantum 101 (RJL Systems)

Single‐frequency

10.2%

Observational: Patients with cancer with high mortality risk (HR 6.39; 95% CI 3.54–11.54) can be identified through body composition assessment, even with adjustment for possible confounding variables (HR 4.35; 95% CI 2.11–8.99; p < .0001).

Sarcopenia was related with shorter median survival (p < .001). Over 6 months, 50% of sarcopenic patients had died.

Mean: 56.9

SD: (12.8)

Harter 46, 2017, Brazil 59

SMI:

Men <7.0 kg/m2

Women <6.0 kg/m2 2

Yes

Quantum II (RJL Systems)

Multi‐frequency

17% Observational: Physical activity was decreased in all the sarcopenic patients, and nutritional and functional status was impaired. Not shared
Fukuda 47, 2015, Japan 99

SMI:

Men <10.75 kg/m2

Women <6.75 kg/m2 2

Yes

InBody 720 (Biospace, Tokyo, Japan)

Multi‐frequency

21.2%

Observational: Preoperative sarcopenia is a risk factor for severe postoperative complications (4.76; 95% CI 1.03–24.3; p = .046) in patients with cancer undergoing gastrectomy.

No difference in overall complications.

Median: 76

Range: 66–91

Sato 31, 2016, Japan 293

FFMI: Each cut‐point was determined as the gender‐specific lowest 20% of the distribution for each measure based on previously published studies 73, 74

Men <17 kg/m2

Women <14.8 kg/m2

Yes

MC‐180 (Tanita, Tokyo, Japan)

Multi‐frequency

19.7% Observational: Sarcopenia was not a risk factor for mortality (OR 1.048; p = .99). Hand grip strength (OR 2.254; p = .044) was a risk factor for morbidity in patients with gastric cancer.

Median: 66

Range: 33–85

Tamura 32, 2019, Japan 153

SMI: Sarcopenia was defined as SMI value of one standard deviation below the gender‐specific mean in the group 75

Men <15.44 kg/m2

Women <13.33 kg/m2

No InBody 3.0 (Biospace, Tokyo, Japan) Multi‐frequency 15.7% Observational: Sarcopenic patients had more grade 2 or more general complications (37.5% vs. 16.3%; p = .024), higher laparotomy rate (70.8 % vs. 44.2%; p = .015) and infection complications (29.2% vs. 10%; p = .021) than nonsarcopenic.

Median sarcopenia: 74

Range: 38–83

Nonsarcopenia: 68

Range: 32–83

Yamamoto 33, 2017, Japan 90

SMI:

Men <10.75 kg/m2

Women <6.75 kg/m2 2

Yes Not shared 24.4% Interventional: Sarcopenic patients submitted to 3 weeks of exercise and modified diet had increased lean muscle mass (p = .02) and no changes in surgical complications, e.g., pneumonia, leakage, fistula, abscess, bleeding, heart failure, and severe grade > 3 complications.

Mean: 75

SD: 5

Blake 33, 2017, USA 125

SMI

The last quartile of the group

No

Maltron Bioscan 920

Multi‐frequency

25% Observational: Sarcopenic patients had worse overall survival (HR 1.072; 95% CI 1.01–1.13; p = .009). Sarcopenia was also associated with preoperative anaerobic threshold (R = .277), postoperative morbidity and mortality (p = .005 and p = .031).

Median: 66

Range: 24–86

Miyata 35, 2017, Japan 94

SMM: <90% lower limit

SMM given by the BIA

No InBody 720 (Biospace, Tokyo, Japan) Multi‐frequency 46.8% Observational: Sarcopenia at baseline is not associated with toxicity (p > .05). Patients who had a larger relative decrease in SMM had higher toxicity (p = .013).

Mean: 64.7

SD: 8.8

Matsunaga 34, 2019, Japan 163 SMM: <90% lower limit No

InBody 720 (Biospace, Tokyo, Japan)

Multi‐frequency

50.3% Observational: Sarcopenia is prognostic for overall survival and is associated with systemic inflammatory response. Sarcopenic patients had higher inflammatory markers; CRP/albumin ratio (p = .046), mGPS (p = .041), and platelet count (p = .016). Sarcopenic patients had worse 2‐year OS (73.1% vs. 85.1%; p = .025) and poor 2‐year RFS (62.8% vs. 76.3%; p = .065).

Mean: 64.7

SD: 8

Ota 36, 2019, Japan 31

SMI:

Men <7 kg/m2

Women <5.7 kg/m2 12

No

InBody 720

(Biospace, Tokyo, Japan) Multi‐frequency

51.6%

Observational: Sarcopenia is an independent predictor of poor pathological response (p = .038) but not therapeutic response (p = .103).

In multivariate analysis, sarcopenia was an independent risk factor for poor therapeutic response (OR 8.02; 95% CI 1.12–165.41; p = .037).

Toxicities were not different between both groups.

Median: 66

Range: 41–75

Ida 37, 2015, Japan 138 SMM: <90% lower limit No InBody 720 (Biospace, Tokyo, Japan) Multi‐frequency 44.2% Observational: Sarcopenic patients had more pulmonary complications after esophagectomy compared with nonsarcopenic patients (15.2% vs. 6.5%; p < .01).

Mean sarcopenic: 67.8

SD: 1

Nonsarcopenic: 63.1

SD: 0.9

Makiura 30, 2016, Japan 104

SMI:

Men <7 kg/m2

Women <5.7 kg/m2 12

Yes

DF‐860 (Yamato, Hyogo, Japan)

Multi‐frequency

27.9% Observational: Sarcopenia is associated with more pulmonary complications (37.9% vs. 17.3%; p = .04). Also, greater blood loss (p < .001) and longer hospitalizations (p < .001). No differences with other complications or perioperative functional changes.

Median sarcopenic: 69

Range: 66–76

Nonsarcopenic: 64

61–71

Ishikawa 38, 2016, Japan 33

SMI:

Men <7.0 kg/m2

Women <5.7 kg/m2 2

No InBody 720 (Biospace Tokyo, Japan)Multi‐frequency 60.6%

Intervention: Elental nutrition can counteract sarcopenia development during chemoradiotherapy for esophageal cancer (p = .007).

It did not affect chemotoxicity.

Median: 68

Range: 50–76

Collins 39, 2017, U.K. 62

SMI:

Men <7.26 kg/m2

Women <5.45 kg/m2

No

Tanita BC‐418

Single frequency

19.4% Observational: No difference in sarcopenic patients regarding completion of chemotherapy or adverse events. BIA overestimates muscle mass compared with DXA scan.

Mean: 68.2

SD: 9.6

Miyake 50, 2017, Japan 35

SMI:

Men <7.0 kg/m2

Women <6.0 kg/m2 68

No InBody S20 (Biospace, Tokyo, Japan) Multi‐frequency 20%

Observational: BIA has similar findings to CT scans for assessing sarcopenia in metastatic urothelial carcinoma.

Sarcopenia was present in five patients using CT and in seven using BIA; three patients were sarcopenic according to both methods.

Median: 73

Range: 64–77

Dos Reis 45, 2018, Brazil 40

SMI:

Men <10.75 kg/m2

Women <6.75 kg/m2

Yes Not shared 62.5% Observational: Sarcopenic patients have no differences in health‐related quality of life. Mean: 62
Hopanci Bicakli 40, 2019, Turkey 153

SMI:

Men <10.75 kg/m2

Women <6.75 kg/m2

Yes

Tanita MC 718

Multi‐frequency

80% (30% sarcopenic obese) Observational: BIA assessed sarcopenia correlates with calf circumference (r = .598, p < .001).

Mean: 70.5

SD: 5.6

Gibson 49, 2017, U.S. 43 FFMI: <1 SD from the young adult norm No

Bodystat 1500

Dual‐frequency

18.6% Observational: BIA has a high correlation with CT scan for screening sarcopenia (r = .711, p < .001); however, the incidence was higher with BIA.

Mean: 69.5

SD: 12

Barbosa 44, 2018, Brazil 73

SMI:

Men <10.75 kg/m2

Women <6.75 kg/m2

No Not shared 46% Observational: Sarcopenic patients have no differences in health‐related quality of life.

Mean: 63.9

SD: 11.3

Kamyia 53, 2018, Japan 56

SMI:

Men <7.0 kg/m2

Women <5.7 kg/m2 2

Yes

InBody 720

(Biospace, Tokyo, Japan) Multi‐frequency

36% Observational: Sarcopenic patients had significantly lower levels of serum dehydroepiandrosterone‐sulfate and a higher CCI score than patients who were not sarcopenic. More sarcopenic patients failed to complete the treatment planned as compared with nonsarcopenic patients (p = .001).

Median: 77

Range: 60–93

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Abbreviations: BIA, bioimpedance electrical analysis; CCI, Charlson comorbidity index; CI, confidence interval; CRP, C reactive protein; CT, computed tomography; DEXA, dual‐energy x‐ray absorptiometry; ECOG, Eastern Cooperative Oncology Group; FFMI, fat‐free mass index; HR, hazard ratio; mGPS, modified Glasgow Prognostic Score; OR, odds ratio; RFS, recurrence‐free survival; SMI, skeletal muscle index; SMM, skeletal muscle mass.