Evidence map›Paper›PMID 35177018›Full record

ArticleBMC cancer2022

Sarcopenia as a novel prognostic factor in the patients of primary localized gastrointestinal stromal tumor.

He Song, Xianhao Xiao, Gang Liu, Jianping Zhou

Abstract readEvaluation Study
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

He SongThe First Affiliated Hospital of China Medical University, 155 Nanjing Street, Shenyang, Liaoning, China.
Xianhao Xiao *China Medical University, Shenyang, Liaoning, China.
Gang Liu *The First Affiliated Hospital of China Medical University, 155 Nanjing Street, Shenyang, Liaoning, China.
Jianping ZhouThe First Affiliated Hospital of China Medical University, 155 Nanjing Street, Shenyang, Liaoning, China. zjphama@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia predicts poor prognosis of a variety of gastrointestinal malignancies. However, there is a lack of study on the association between skeletal muscle index (SMI) and the prognosis of gastrointestinal stromal tumor (GIST). The aim of this study is to develop a novel nomogram based on sarcopenia for GIST patients to predict overall survival (OS).

methodsSMI was measured by computed tomography scan of 107 patients who underwent resection for primary localized gastrointestinal stromal tumor (GIST). Sarcopenia was defined by cutoff values for SMI as 40.1 cm

resultsTwenty-eight (26.2%) of 107 patients were sarcopenic. Sarcopenia was correlated significantly with body mass index, albumin, female sex, resection style, mitotic index, rupture status, survival. Sarcopenia was significantly related to decreased overall survival (p = 0.003).The nomogram including sarcopenia status, resection style and mitotic index had an excellent discrimination with C-index 0.794. The calibration curves represented a good accordance between the actual observation and nomogram prediction for overall survival. Decision curve analysis illustrated that the nomogram was helpful in clinic.

conclusionsWe developed a nomogram based on sarcopenia to predict overall survival after resection of GISTs which is an effective and favorable prognostication tool.

Indexed as

NomogramsFemaleGastrointestinal NeoplasmsGastrointestinal Stromal TumorsHumansMaleMiddle AgedMuscle, SkeletalPostoperative PeriodPrognosisRetrospective StudiesSarcopeniaTomography, X-Ray ComputedGastrointestinal stromal tumorSarcopeniaSkeletal muscle indexSurvival

Identifiers

PMID35177018
PMCPMC8851766

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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.