Evidence map›Paper›PMID 38764843›Full record

ArticleWorld journal of gastrointestinal oncology2024

Is sarcopenia effective on survival in patients with metastatic gastric cancer?

Ozlem Dogan, Hayriye Sahinli, Yakup Duzkopru, Tuba Akdag, Abdulkadir Kocanoglu

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. 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

5 authors.

Ozlem DoganDepartment of Medical Oncology, Adıyaman University Training and Research Hospital, Adiyaman 02100, Turkey. drozlemdogan@hotmail.com.
Hayriye SahinliDepartment of Medical Oncology, Ankara Etlik City Hospital, Ankara 06170, Turkey.
Yakup DuzkopruDepartment of Medical Oncology, Ankara Etlik City Hospital, Ankara 06170, Turkey.
Tuba AkdagDepartment of Radiology, University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Ankara 06000, Turkey.
Abdulkadir KocanogluDepartment of Medical Oncology, Ankara Ataturk Sanatoryum Training and Research Hospital, Ankara 06170, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is a progressively diminishing state characterized by the reduction of muscle mass and density, which is frequently observed in malignancies of solid organs.

aimTo assess how sarcopenia affects the overall survival of individuals who have been diagnosed with metastatic gastric cancer.

methodsThe study retrospectively included individuals who had been diagnosed with metastatic gastric cancer between January 2008 and December 2020. Sarcopenia was identified through the calculation of the average Hounsfield units (HUAC) using computed tomography (CT) images taken at the time of diagnosis in patients.

resultsA total of 118 patients with metastatic gastric cancer were evaluated. Sarcopenia was detected in 29 patients (24.6%). The median survival of all patients was 8 (1-43) mo. The median survival of patients with sarcopenia was 2 mo, while it was 10 mo for those without sarcopenia (

conclusionSarcopenia has been observed to impact survival outcomes in various types of solid tumor cancers. Sarcopenic patients can be identified in a short time, easily and inexpensively, by HUAC measurements from CT images used for diagnosis, and survival could be promoted with nutritional support.

Indexed as

Gastric cancerHounsfield unitsMuscle densityPsoas muscle massSarcopeniaSurvival

Identifiers

PMID38764843
PMCPMC11099424

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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.