Evidence map›Paper›PMID 38394301›Full record

ArticlePloS one2024

Anthropometric parameters as a predictor for abdominal wall thickness in a patient with gastrostomy.

Prasit Mahawongkajit, Autchariya Saengwijit, Poon Wongvisavavit, Chittinad Havanond, Saritphat Orrapin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. 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, top 98% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Prasit MahawongkajitDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.ORCID 0000-0001-6144-2572
Autchariya SaengwijitDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Poon WongvisavavitDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Chittinad HavanondDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Saritphat OrrapinDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.ORCID 0000-0002-1330-6215
Thammasat University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnteral feeding tubes play essential roles in clinical management and nutritional support. Knowledge of the abdominal wall is beneficial in surgical practice and safe for gastrostomy. Anthropometric parameters are currently used for clinical assessment in many clinical applications. That might be beneficial if we applied anthropometric measurement for thickness prediction of the abdominal wall to the schedule of patients' gastrostomy care. This study aimed to evaluate the anthropometric parameters of abdominal wall thickness (AWT).

methodsWe conducted a cross-sectional study with anthropometric parameters and CT-measured anterior AWT were assessed and analyzed.

resultsThe data are collected from January 2020 to March 2021. Arm circumference and body mass index were strongly correlated with AWT at left upper quadrant area and anterior AWT at middle area. The data was created in an TAWT (Thammasat AWT) chart to represent body parameters to AWT.

conclusionsArm circumference is related to AWT. A TAWT chart is designed to help medical personnel evaluate the thickness of the abdominal wall and could guide estimating the gastrostomy tube length.

Indexed as

Abdominal WallGastrostomyAnthropometryBody Mass IndexCross-Sectional StudiesHumans

Identifiers

PMID38394301
PMCPMC10890720
OpenAlexW4392123371

What OpenQuestion holds

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LicenceCC BY
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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.