Evidence map›Paper›PMID 35297568›Full record

ArticleJournal of cachexia, sarcopenia and muscle2022

Serum creatinine and cystatin C-based diagnostic indices for sarcopenia in advanced non-small cell lung cancer.

Tianjiao Tang, Lingling Xie, Song Hu, Lingling Tan, Xiaozhen Lei, Xiaozhen Luo, Ling Yang, Ming Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 pooled it
11.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 4 syntheses or guidelines pooled it, 98 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Tianjiao TangCenter of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-4817-2907
Lingling XieCenter of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Song HuDepartment of Radiology, Shangjin Nanfu Hospital, Sichuan University, Chengdu, China.
Lingling TanCenter of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Xiaozhen LeiDepartment of Oncology, Shangjin Nanfu Hospital, Sichuan University, Chengdu, China.
Xiaozhen LuoDepartment of Oncology, Shangjin Nanfu Hospital, Sichuan University, Chengdu, China.
Ling YangOutpatient Department, West China Hospital, Sichuan University, Chengdu, China.
Ming YangNational Clinical Research Center for Geriatric Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-1875-1692
Sichuan University · CN

Funding

K&D Program of the Sichuan Science and Technology Department 2020YFS0573Post-Doctor Research Project at West China Hospital 2018HXBH071
6 · The paper itself

Abstract

backgroundSarcopenia is an important prognostic factor of lung cancer. The serum creatinine/cystatin C ratio (CCR) and the sarcopenia index (SI, serum creatinine × cystatin C-based glomerular filtration rate) are novel screening tools for sarcopenia; however, the diagnostic accuracy of the CCR and SI for detecting sarcopenia remains unknown. We aimed to explore and validate the diagnostic values of the CCR and SI for determining sarcopenia in non-small cell lung cancer (NSCLC) and to explore their prognostic values for overall survival.

methodsWe conducted a prospective cohort study of adult patients with stage IIIB or IV NSCLC. Levels of serum creatinine and cystatin C were measured to calculate the CCR and SI. Sarcopenia was defined separately using CCR, SI, and the Asian Working Group for Sarcopenia (AWGS) 2019 criteria. Participants were randomly sampled into derivation and validation sets (6:4 ratio). The cutoff values for diagnosing sarcopenia were determined based on the derivation set. Diagnostic accuracy was analysed in the validation set through receiver operating characteristic (ROC) curves. Cox regression models and survival curves were applied to evaluate the impact of different sarcopenia definitions on survival.

resultsWe included 579 participants (women, 35.4%; mean age, 58.4 ± 8.9 years); AWGS-defined sarcopenia was found in 19.5% of men and 10.7% of women. Both CCR and SI positively correlated with computed tomography-derived and bioimpedance-derived muscle mass and handgrip strength. The optimal cutoff values for CCR and SI were 0.623 and 54.335 in men and 0.600 and 51.742 in women, with areas under the ROC curves of 0.837 [95% confidence interval (CI): 0.770-0.904] and 0.833 (95% CI: 0.765-0.901) in men (P = 0.25), and 0.808 (95% CI: 0.682-0.935) and 0.796 (95% CI: 0.668-0.924) in women (P = 0.11), respectively. The CCR achieved sensitivities and specificities of 73.0% and 93.7% in men and 85.7% and 65.7% in women, respectively; the SI achieved sensitivities and specificities of 75.7% and 86.5% in men and 92.9% and 62.9% in women, respectively. CCR-defined, SI-defined, and AWGS-defined sarcopenia were independently associated with a high mortality risk [hazard ratio (HR) = 1.75, 95% CI: 1.25-2.44; HR = 1.55, 95% CI: 1.11-2.17; and HR = 1.76, 95% CI: 1.22-2.53, respectively].

conclusionsCCR and SI have satisfactory and comparable diagnostic accuracy and prognostic values for sarcopenia in patients with advanced NSCLC. Both may serve as surrogate biomarkers for evaluating sarcopenia in these patients. However, further external validations are required.

Indexed as

Carcinoma, Non-Small-Cell LungCreatinineCystatin CLung NeoplasmsSarcopeniaAdultAgedFemaleHand StrengthHumansMaleMiddle AgedProspective StudiesCreatinineCystatin CDecision curve analysisLung cancerMuscle depletionMuscle wastingSurvival

Identifiers

PMID35297568
PMCPMC9178169
OpenAlexW4221028051

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.