Evidence map›Paper›PMID 40259267›Full record

ArticleBMC cancer2025

Association of low skeletal muscle mass and radiodensity with clinical outcomes in patients undergoing robotic radical gastric cancer surgery: a population-based retrospective cohort study.

Honghai Guo, Sheng Chen, Tao Zheng, Ping'an Ding, Jiaxuan Yang, Haotian Wu, Jiaxiang Wu, Li Yang, Yuan Tian, Peigang Yang and 2 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Nutritional prehabilitation strategies in abdominal surgery.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  5. Article
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

12 authors.

Honghai Guo *The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Sheng Chen *The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Tao Zheng *The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Ping'an Ding *The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Jiaxuan YangThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Haotian WuThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Jiaxiang WuThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Li YangHebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
Yuan TianThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Peigang YangThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Xianyu TangThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Qun ZhaoThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China. zhaoqun@hebmu.edu.cn.

Funding

Hebei Natural Science Foundation 22JCZXJC00140Hebei Provincial Government-funded Clinical Talent Project ZF2023047S&T Program of Hebei 23297701Z
6 · The paper itself

Abstract

backgroundSarcopenia (defined as low skeletal muscle index - SMI) and myosteatosis (defined as low skeletal muscle radiodensity - SMD) associate with poor outcomes in gastric cancer, but their impact after robotic surgery is unknown.

methodsThis retrospective cohort study analyzed 381 gastric cancer patients undergoing robotic surgery from December 2019 to October 2022. Sarcopenia and myosteatosis were assessed on preoperative CT scans. Outcomes were postoperative complications, mortality, survival, and recurrence. Multivariable regression and propensity score matching examined associations.

resultsThe mean age at diagnosis was 58.5 ± 10.8 years, and 69.3% (262/381) were male. Low SMI or Low SMD independently associated with more complications (odds ratio[OR] = 3.36, 95%CI: 2.08-5.43; OR = 2.49,95%CI: 1.48-4.19, respectively), unplanned ICU admission (OR = 1.51, 95%CI: 1.22-8.44; OR = 2.00; 95%CI: 1.23-8.89, respectively) or 30-day mortality (OR = 5.89, 95%CI: 1.80-14.23; OR = 7.34; 95%CI: 2.43-18.67, respectively). Concurrent sarcopenia and myosteatosis heightened risks of complications (OR = 7.29, 95%CI: 1.62-42.30), severe complications (OR = 6.67, 95%CI: 2.22-12.68), 30-day mortality (OR = 9.55, 95%CI: 2.67-33.89), and reduced survival (hazard ratio[HR] = 3.09, 95%CI: 1.77-8.60).

conclusionsSarcopenia and myosteatosis independently and additively associate with increased postoperative complications, mortality, and worse prognosis after robotic gastric cancer surgery. Identifying sarcopenia and myosteatosis preoperatively could inform risk assessments and guide management to improve surgical outcomes.

Indexed as

GastrectomyMuscle, SkeletalPostoperative ComplicationsRobotic Surgical ProceduresSarcopeniaStomach NeoplasmsAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTomography, X-Ray ComputedTreatment OutcomeGastric cancerLong-term prognosisPostoperative complicationsRobotic surgerySkeletal muscle indexSkeletal muscle radiodensity

Identifiers

PMID40259267
PMCPMC12013094

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.