Evidence map›Paper›PMID 41477214›Full record

ArticleHealth science reports2026

Body Mass Analysis for Patients Undergoing Surgical Intervention: A Cross-Sectional Study.

Sazgar Khald Ibrahim, Rondik Khalid Mosa, Alaa Noori Sarkees, Salih M S Zebari

Abstract read
In one paragraph

Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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.

Sazgar Khald IbrahimDepartment of General Surgery, College of Medicine Hawler Medical University (HMU) Erbil Iraq.ORCID https://orcid.org/0000-0001-6281-7516
Rondik Khalid MosaDuhok Obstetrics and Gynecology Hospital Duhok Iraq.ORCID https://orcid.org/0009-0008-5694-8294
Alaa Noori SarkeesDepartment of Nursing, College of Health and Medical Technology Duhok Polytechnic University (DPU) Duhok Iraq.ORCID https://orcid.org/0009-0001-7453-2419
Salih M S ZebariDepartment of Animal Resource, College of Agricultural Engineering Sciences Salahaddin University-Erbil Erbil Iraq.ORCID https://orcid.org/0000-0003-3289-0776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Bioelectrical Impedance Analysis is a reliable, noninvasive, objective, and cost-effective body composition assessment method used in clinical practice. Body composition provides information for precise nutrition intervention in the perioperative period to improve patients' postoperative outcomes. The study evaluates and estimates the nutritional status of patients undergoing surgical intervention. Patients and Methodology: A cross-sectional survey took place from March 2024 to October 2024 to examine the body composition, muscle-fat analysis, and body-calculated data of 2368 adult patients (aged 18 years and older) from Erbil Teaching Hospital in Erbil City utilizing a convenience sampling technique from those patients who were admitted to the hospital for surgical intervention. Data were collected using the InBody machine 270, including two parts: the first was related to demographic data, while the second consisted of body composition. Results: The analysis showed that men generally had higher levels of total body water, protein, minerals, skeletal muscle mass and fat-free mass, while women indicated higher levels of visceral fat and percent body fat, as both genders show waist-hip ratios and levels of obesity above the average. Conclusion: The study concluded that gender differences have a significant impact on the presence of gender body composition differences.

Indexed as

BIABody mass analysisErbil citysurgical intervention

Identifiers

PMID41477214
PMCPMC12748062

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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.