Evidence map›Paper›PMID 32125769›Full record

SynthesisJournal of cachexia, sarcopenia and muscle2020

Low skeletal muscle mass and postoperative morbidity in surgical oncology: a systematic review and meta-analysis.

Linda B M Weerink, Anouk van der Hoorn, Barbara L van Leeuwen, Geertruida H de Bock

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of cachexia, sarcopenia and muscle, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06868095 (Multi-Center Retrospective Study to Evaluate the Impact of Sarcopenia in Patients with Early-Onset Colorectal Cancer), which is not on this map. Cited by 60 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 9 pooled it
7.8field-weighted citation impact, top 2% 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.

NCT06868095 enrolling by invitationnot on this map

Multi-Center Retrospective Study to Evaluate the Impact of Sarcopenia in Patients with Early-Onset Colorectal Cancer: Incidence Risk Factor or Negative Prognosis Predictor?

TypeobservationalSponsorInstituto de Investigación Biomédica de SalamancaRan2000 to 2025Enrolled1,000ConditionsColorectal Cancer, Early Onset Colorectal Cancer, Sarcopenia, Prognostic FactorsArmsSurgical resection
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 9 syntheses or guidelines pooled it, 100 citations in OpenAlex.

  1. Pooled it
  2. Sarcopenia among treated cancer patients before and after neoadjuvant chemotherapy: a systematic review and meta-analysis of high-quality studies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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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 at 1 institution in 1 country.

Linda B M WeerinkDepartment of Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-7199-9873
Anouk van der HoornDepartment of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0003-4649-327X
Barbara L van LeeuwenDepartment of Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-6745-4424
Geertruida H de BockDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0003-3104-4471
University Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia might function as an indicator for frailty, and as such as a risk factor for the development of postoperative complications. The aim of this study was to meta-analyse the relation between preoperative sarcopenia and the development of severe postoperative complications in patients undergoing oncological surgery.

methodsPubMed and Embase databases were systematically searched from inception until May 2018. Included were studies reporting on the incidence of severe postoperative complications and radiologically determined preoperative sarcopenia. Studies reporting the skeletal muscle as a continuous variable only were excluded. Data were extracted independently by two reviewers. Random effect meta-analyses were applied to estimate the pooled odds ratio (OR) with 95% confidence intervals (95% CI) for severe postoperative complications, defined as Clavien-Dindo grade ≥3, including 30-day mortality. Heterogeneity was evaluated with I

resultsA total of 1924 citations were identified, and 53 studies (14 295 patients) were included in the meta-analysis. When measuring the total skeletal muscle area, 43% of the patients were sarcopenic, versus 33% when measuring the psoas area. Severe postoperative complications were present in 20%, and 30-day mortality was 3%. Preoperative sarcopenia was associated with an increased risk of severe postoperative complications (OR

conclusionsThe presence of low psoas mass prior to surgery, as an indicator for sarcopenia, is a common phenomenon and is a strong predictor for the development of postoperative complications. The presence of low total skeletal muscle mass, which is even more frequent, is a less informative predictor for postoperative complications and 30-day mortality. The low heterogeneity indicates that the finding is consistent over studies. Nevertheless, the value of sarcopenia relative to other assessments such as frailty screening is not clear. Research is needed in order to determine the place of sarcopenia in future preoperative risk stratification.

Indexed as

AgedHumansMorbidityMuscle, SkeletalPostoperative PeriodSarcopeniaSurgical OncologyPostoperative complicationsRadiologySarcopeniaSurgery

Identifiers

PMID32125769
PMCPMC7296274
OpenAlexW3009572070

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.