Evidence map›Paper›PMID 28944432›Full record

ArticleObesity surgery2018

Trend of Changes in Serum Albumin and Its Relation with Sex, Age, and BMI Following Laparoscopic Mini-gastric Bypass Surgery in Morbid Obese Cases.

Mehrdad Karimi, Ali Kabir, Masoumeh Nejatifar, Abdolreza Pazouki

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In one paragraph

Article in Obesity surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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.

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Mehrdad KarimiDepartment of Surgery, Shahrekord University of Medical Sciences, Sharekord, Iran.
Ali KabirMinimally Invasive Surgery Research Center, Iran University of Medical Sciences, Room 255, Central Building, Hemmat Expway, Tehran, Iran. aikabir@yahoo.com.ORCID 0000-0001-9496-4705
Masoumeh NejatifarFaculty of Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abdolreza PazoukiMinimally Invasive Surgery Research Center, Iran University of Medical Sciences, Room 255, Central Building, Hemmat Expway, Tehran, Iran.
Iran University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to investigate the pattern of changes in serum albumin level after mini-gastric bypass (MGB) and its association with gender, age, and body mass index (BMI) of the patients.

methodsThis cohort study was conducted on 196 morbidly obese patients undergoing MGB followed for 1 year. The data on BMI, serum albumin level, demographic, anthropometric, biochemical variables and comorbidities were gathered before and after (3, 6, and 12 months) surgery. The trend of changes in BMI and serum albumin of the patients was investigated by repeated measures tests using general linear model (GLM) and generalized estimating equations (GEE) approaches.

resultsThe mean age, baseline median BMI, and albumin of the patients were 41.34 ± 11.03 years, 44.54 kg/m

conclusionMGB is an effective technique to lose weight. The trend of changes in serum albumin level was affected by its baseline levels and age.

Indexed as

Body Mass IndexAdultAge FactorsCohort StudiesFemaleGastric BypassHumansIranLaparoscopyMaleMiddle AgedMorbidityObesity, MorbidRetrospective StudiesSerum AlbuminSex FactorsSerum AlbuminBariatric surgeryBody mass indexMorbidObesitySerum albumin

Identifiers

PMID28944432
OpenAlexW2757261704

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.