Evidence map›Paper›PMID 32021346›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

The Relationship Between Abdominal Body Composition and Metabolic Syndrome After a Weight Reduction Program in Adult Men with Obesity.

Chun-Cheng Liao, Wayne Huey-Herng Sheu, Shih-Yi Lin, Wen-Jane Lee, I-Te Lee

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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 3 institutions in 2 countries.

Chun-Cheng LiaoDepartment of Family Medicine, Taichung Armed Forces General Hospital, Taichung, Taiwan.ORCID 0000-0002-7508-6297
Wayne Huey-Herng SheuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Shih-Yi LinSchool of Medicine, National Yang-Ming University, Taipei, Taiwan.
Wen-Jane LeeDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
I-Te LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.ORCID 0000-0003-2665-3635
National Yang Ming Chiao Tung University · TWTaichung Armed Forces General Hospital · TWTaichung Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the relationship between changes in abdominal adipose tissue and metabolic syndrome (MetS) in men with obesity after a weight reduction program (WRP). PATIENTS AND

methodsAdult men with obesity and MetS were recruited for this prospective single-arm intervention study. Participants consumed an energy-restricted diet of 1200 kcal/day and performed 50-mins aerobic exercise daily for 12 weeks. Changes in the components of MetS were recorded. Changes in subcutaneous abdominal fat area (SAFA) and intra-abdominal fat area (IAFA) at the umbilicus level were determined using magnetic resonance imaging.

resultsA total of 30 men (mean age, 42.3 ± 10.0 years; body mass index, 33.7 ± 4.1 kg/m

conclusionReduction in IAFA via a 12-week WRP may help reverse MetS in men with obesity and MetS.

Indexed as

body mass indexintra-abdominal fatmagnetic resonance imagingmetabolic syndromesubcutaneous abdominal fatvisceral fat

Identifiers

PMID32021346
PMCPMC6954077
OpenAlexW2997759639

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.