Evidence map›Paper›PMID 24938678›Full record

ArticleObesity surgery2014

Volume of resected stomach as a predictor of excess weight loss after sleeve gastrectomy.

Firas W Obeidat, Hiba A Shanti, Ayman A Mismar, M S Elmuhtaseb, Mohammad S Al-Qudah

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Article in Obesity surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
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  13. Observational
  14. Effect of Resected Gastric Volume on Ghrelin and GLP-1 Plasma Levels: a Prospective Study.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2016
    Observational
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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.

Firas W ObeidatFaculty of Medicine, Department of General Surgery, The University of Jordan, Amman, Jordan, fwfobeidat@gmail.com.
Hiba A Shanti
Ayman A Mismar
M S Elmuhtaseb
Mohammad S Al-Qudah

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaparoscopic sleeve gastrectomy (LSG) is gaining popularity for the treatment of obesity. The objective of this study was to evaluate the volume of the resected stomach (VRS) as a predictor of the percentage of excess weight loss (%EWL) 1 year after LSG.

methodsThis was a single-surgeon study of prospectively collected data of patients who underwent LSG at Jordan University Hospital (February 2009 to February 2012). The VRS was measured using a standardized technique. The %EWL was calculated at 3, 6, and 12 months postoperatively. The correlation between the VRS and %EWL was statistically evaluated.

resultsNinety patients underwent LSG during the study period. Of these, 73 patients (57 female) completed at least 1 year of follow-up and were analyzed; their body mass index was 45 ± 7.6 kg/m(2) (33-81). The VRS was 1,337.4 ± 435.2 ml (600-2,800). The %EWL was 33.6 ± 11.1 % at 3 months, 48.6 ± 15.5 % at 6 months, and 56.8 ± 18.9 % at 12 months. A significant correlation was observed between the VRS and %EWL at 1 year (p = 0.003). Patients with a VRS of >1,100 ml (n = 43) achieved significantly greater %EWL at 12 months than did those with a VRS of ≤ 1,100 (n = 30). Removal of >1,100 ml of gastric volume was associated with a sensitivity and specificity of 75.5 and 46.2 %, respectively, for achieving a %EWL of ≥ 50 %.

conclusionThe VRS can be used as an indicator of excess weight loss 1 year after LSG.

Indexed as

Weight LossAdolescentAdultBody Mass IndexFemaleGastrectomyHumansLaparoscopyMaleMiddle AgedObesity, MorbidPredictive Value of TestsProspective StudiesStomach

Identifiers

PMID24938678

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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.