Evidence mapPaperPMID 32584834Full record

Trial reportPloS one2020

Gender-differences in predictors for time to metabolic syndrome resolution: A secondary analysis of a randomized controlled trial study.

Seung-Ah Choe, Nan-He Yoon, Seunghyun Yoo, Hyekyeong Kim

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact, top 87% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 4 institutions in 1 country.

Seung-Ah ChoeDepartment of Obstetrics and Gynecology, School of Medicine, CHA University, Gyunggi-do, Republic of Korea.ORCID 0000-0001-6270-5020
Nan-He YoonDepartment of Health Administration, Hanyang Cyber University, Seoul, Republic of Korea.ORCID 0000-0003-1268-0149
Seunghyun YooDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Hyekyeong KimDepartment of Health Convergence, Ewha Womans University, Seoul, Republic of Korea.
CHA University · KREwha Womans University · KRHanyang Cyber University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding gender differences in health-related behaviors and their impacts is a crucial aspect of effective primary care. We studied gender-based differences in predictors of metabolic syndrome (MetS) resolution among newly diagnosed MetS patients. This study was a secondary analysis of a prospective clinical trial study comprising of 637 middle-aged and older adults (226 men and 411 women) who underwent a regular health checkup and were newly diagnosed with MetS at 16 different health clinics of 14 metropolitan cities and provinces. We conducted Cox proportional hazard analysis to estimate cumulative probability of MetS resolution within a 12-month observation period. Among the 637 patients, 47.6% of participants achieved MetS resolution. The resolution rate was similar among men and women (44.7% and 49.1%, respectively, P = 0.320). Low household income (Hazard ratio = 2.62, 95% confidence interval: 1.13-6.08) and current employment (2.29, 1.26-4.13) were associated with a higher cumulative probability of MetS resolution in men than in women. For women, however, longer sleeping hours (1.18, 1.04-1.34) and living with a partner (1.58, 1.06-2.35) were positive predictors of MetS resolution. Being overweight (0.63, 0.44-0.89) was associated with lower cumulative probability of MetS resolution in women than in men. The factors associated with cumulative probability of MetS resolution within the 12-month follow-up were different between men and women. These findings facilitate further exploration on gender-based differences in risk factors for less optimal improvements in MetS.

Indexed as

Sex CharacteristicsFemaleHumansMaleMetabolic SyndromeMiddle AgedProbability

Identifiers

PMID32584834
PMCPMC7316247
OpenAlexW3037679763

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.