Evidence map›Paper›PMID 35487721›Full record

SynthesisBMJ open2022

Characteristics of participants who take up screening tests for diabetes and lipid disorders: a systematic review.

Hanyue Ding, Junjie Huang, Yunyang Deng, Sze Pui Pamela Tin, Martin Chi-Sang Wong, Eng-Kiong Yeoh

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Improving Diabetes and Pre-Diabetes Detection in the UK: Insights From HbA1c Screening in an Acute Hospital's Emergency Department.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    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

6 authors at 2 institutions in 2 countries.

Hanyue DingJC School of Public Health and Primary Care, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong, People's Republic of China.ORCID 0000-0001-9977-0985
Junjie HuangJC School of Public Health and Primary Care, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong, People's Republic of China.ORCID 0000-0003-2382-4443
Yunyang DengJC School of Public Health and Primary Care, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong, People's Republic of China.ORCID 0000-0003-4848-2953
Sze Pui Pamela TinHealthcare & Social Development, Our Hong Kong Foundation, Hong Kong, People's Republic of China.
Martin Chi-Sang WongJC School of Public Health and Primary Care, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong, People's Republic of China yeoh_ek@cuhk.edu.hk wong_martin@cuhk.edu.hk.ORCID 0000-0001-7706-9370
Eng-Kiong YeohJC School of Public Health and Primary Care, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong, People's Republic of China yeoh_ek@cuhk.edu.hk wong_martin@cuhk.edu.hk.ORCID 0000-0002-1721-9450
Chinese University of Hong Kong · HKHong Kong Lung Foundation · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo perform a systematic review on the characteristics of participants who attended screening programmes with blood glucose tests, lipid profiles or a combination of them, respectively.

designSystematic review following the Meta-analysis Of Observational Studies in Epidemiology checklist. DATA SOURCES: PubMed and Medline databases for English literature from 1 January 2000 to 1 April 2020. ELIGIBILITY CRITERIA: Original observational studies that reported baseline characteristics of apparently healthy adult participants screening for diabetes and lipid disorders were included in this review. DATA EXTRACTION: We examined their sociodemographic characteristics, including age, gender, body mass index (BMI) and lifestyle habits. The quality of the included articles was evaluated by the Appraisal of Cross-sectional Studies.

resultsA total of 33 articles involving 38 studies in 22 countries were included and analysed in this systematic review. Overall, there was a higher participation rate among subjects who were female in all screening modalities (female vs male: 46.6%-63.9% vs 36.1%-53.4% for diabetes screening; 48.8%-58.4% vs 41.6%-51.2% for lipid screening; and 36.4%-76.8% vs 23.2%-63.6% for screening offering both). Compared with the BMI standard from the WHO, participants in lipid screening had lower BMI (male: 23.8 kg/m

conclusionsWe identified that individuals from lower socioeconomic groups were less likely to take up programmes for diabetes and/or lipid screening in developed areas. These populations are also likely to be at higher risk of non-communicable diseases. Future studies should investigate the barriers and facilitators of screening among non-participants, where targeted interventions to enhance their screening uptake are warranted.

Indexed as

Diabetes MellitusAdultCross-Sectional StudiesFemaleHumansLipidsMaleMass ScreeningWorld Health OrganizationLipidsDiabetes MellitusLipid Metabolism DisordersMass ScreeningPopulation CharacteristicsSystematic Review

Identifiers

PMID35487721
PMCPMC9058764
OpenAlexW4225256912

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.