Evidence map›Paper›PMID 25267047›Full record

SynthesisThe British journal of general practice : the journal of the Royal College of General Practitioners2014

Screening for increased cardiometabolic risk in primary care: a systematic review.

Corine den Engelsen, Paula S Koekkoek, Merijn B Godefrooij, Mark G Spigt, Guy E Rutten

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in The British journal of general practice : the journal of the Royal College of General Practitioners, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02797392 (Early Detection and Prevention of Lifestyle Related Diseases - a Pilot Study), which is not on this map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
–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.

NCT02797392 nacompletednot on this mapstarted 2016, after this paper: background citation

Early Detection and Prevention of Lifestyle Related Diseases - a Pilot Study

TypeinterventionalSponsorUniversity of Southern DenmarkRan2016 to 2017Enrolled9,400ConditionsType-2 Diabetes, Cardiovascular Diseases, Chronic Obstructive Pulmonary Disease (COPD)ArmsLifestyle intervention
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Testing a One-Item Risk Measure to Predict Alameda Seven Health Behaviors in the Republic of Korea.International journal of environmental research and public health · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Health checks and screening: what works in general practice?The British journal of general practice : the journal of the Royal College of General Practitioners · 2014
    Article
  19. 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.

Corine den EngelsenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands.
Paula S KoekkoekJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands.
Merijn B GodefrooijCAPHRI-School for Public Health and Primary Care, Department of General Practice, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
Mark G SpigtCAPHRI-School for Public Health and Primary Care, Department of General Practice, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
Guy E RuttenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany programmes to detect and prevent cardiovascular disease (CVD) have been performed, but the optimal strategy is not yet clear.

aimTo present a systematic review of cardiometabolic screening programmes performed among apparently healthy people (not yet known to have CVD, diabetes, or cardiometabolic risk factors) and mixed populations (apparently healthy people and people diagnosed with risk factor or disease) to define the optimal screening strategy. DESIGN AND

settingSystematic review of studies performed in primary care in Western countries.

methodMEDLINE, Embase, and CINAHL databases were searched for studies screening for increased cardiometabolic risk. Exclusion criteria were studies designed to assess prevalence of risk factors without follow-up or treatment; without involving a GP; when fewer than two risk factors were considered as the primary outcome; and studies constrained to ethnic minorities.

resultsThe search strategy yielded 11 445 hits; 26 met the inclusion criteria. Five studies (1995-2012) were conducted in apparently healthy populations: three used a stepwise method. Response rates varied from 24% to 79%. Twenty-one studies (1967-2012) were performed in mixed populations; one used a stepwise method. Response rates varied from 50% to 75%. Prevalence rates could not be compared because of heterogeneity of used thresholds and eligible populations. Observed time trends were a shift from mixed to apparently healthy populations, increasing use of risk scores, and increasing use of stepwise screening methods.

conclusionThe optimal screening strategy in primary care is likely stepwise, in apparently healthy people, with the use of risk scores. Increasing public awareness and actively involving GPs might facilitate screening efficiency and uptake.

Indexed as

Primary Health CareCardiovascular DiseasesDiabetes Mellitus, Type 2Health PromotionHumansInsulin ResistanceObesityPatient Education as TopicPatient ParticipationReferral and ConsultationRisk FactorsRisk Reduction BehaviorSurveys and Questionnairescardiometabolic risk factorsprimary health carescreening

Identifiers

PMID25267047
PMCPMC4173724

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.