Evidence map›Paper›PMID 28386715›Full record

SynthesisWorld journal of surgery2017

Radiologically Determined Sarcopenia Predicts Morbidity and Mortality Following Abdominal Surgery: A Systematic Review and Meta-Analysis.

Keaton Jones, Alex Gordon-Weeks, Claire Coleman, Michael Silva

Registry-linked trialOpen access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in World journal of surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04729738 (The Impact of Comorbidities, Frailty Malnutrition and Sarcopenia on Short-term Mortality in Patients Undergoing Laparoscopic Colon Surgery), which is not on this map. Cited by 85 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 8 pooled it
11.8field-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.

NCT04729738 completednot on this map

The Impact of Comorbidities, Frailty Malnutrition and Sarcopenia on Short-term Mortality in Patients Undergoing Laparoscopic Colon Surgery

TypeobservationalSponsorUniversity Hospital of FerraraRan2012 to 2020Enrolled420ConditionsColon Cancer, Malnutrition, Sarcopenia, Comorbidities and Coexisting Conditions
3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 8 syntheses or guidelines pooled it, 182 citations in OpenAlex.

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  8. Effect of sarcopenia on clinical outcomes following digestive carcinoma surgery: a meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019
    Pooled it
  9. Automated Muscle Measurement on Chest CT Predicts All-Cause Mortality in Older Adults From the National Lung Screening Trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
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  18. Physical fitness and body composition assessments in advanced cancer patients undergoing exenterative surgery - A pilot cohort study.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2025
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25 more citing papers are in PubMed but not listed here.

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 3 institutions in 1 country.

Keaton JonesNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK. keatonjones@oncology.ox.ac.uk.
Alex Gordon-WeeksNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Claire ColemanBuckinghamshire Healthcare NHS Trust, High Wycombe, Buckinghamshire, UK.
Michael SilvaDepartment of Hepatobiliary and Pancreatic Surgery, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
University of Oxford · GBBuckinghamshire Healthcare NHS Trust · GBOxford University Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividualised risk prediction is crucial if targeted pre-operative risk reduction strategies are to be deployed effectively. Radiologically determined sarcopenia has been shown to predict outcomes across a range of intra-abdominal pathologies. Access to pre-operative cross-sectional imaging has resulted in a number of studies investigating the predictive value of radiologically assessed sarcopenia over recent years. This systematic review and meta-analysis aimed to determine whether radiologically determined sarcopenia predicts post-operative morbidity and mortality following abdominal surgery.

methodCENTRAL, EMBASE and MEDLINE databases were searched using terms to capture the concept of radiologically assessed sarcopenia used to predict post-operative complications in abdominal surgery. Outcomes included 30 day post-operative morbidity and mortality, 1-, 3- and 5-year overall and disease-free survival and length of stay. Data were extracted and meta-analysed using either random or fixed effects model (Revman

resultsA total of 24 studies involving 5267 patients were included in the review. The presence of sarcopenia was associated with a significant increase in major post-operative complications (RR 1.61 95% CI 1.24-4.15 p = <0.00001) and 30-day mortality (RR 2.06 95% CI 1.02-4.17 p = 0.04). In addition, sarcopenia predicted 1-, 3- and 5-year survival (RR 1.61 95% CI 1.36-1.91 p = <0.0001, RR 1.45 95% CI 1.33-1.58 p = <0.0001, RR 1.25 95% CI 1.11-1.42 p = 0.0003, respectively) and 1- and 3-year disease-free survival (RR 1.30 95% CI 1.12-1.52 p = 0.0008).

conclusionPeri-operative cross-sectional imaging may be utilised in order to predict those at risk of complications following abdominal surgery. These findings should be interpreted in the context of retrospectively collected data and no universal sarcopenic threshold. Targeted prehabilitation strategies aiming to reverse sarcopenia may benefit patients undergoing abdominal surgery.

Indexed as

MortalityAbdomenDisease-Free SurvivalHumansPostoperative ComplicationsPredictive Value of TestsRadiologyRisk FactorsSarcopeniaSurvival Rate

Identifiers

PMID28386715
PMCPMC5544798
OpenAlexW2605241758

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.