Evidence map›Paper›PMID 38907609›Full record

ArticleClinical trials (London, England)2025

Comparison of outcomes of the 50-year follow-up of a randomized trial assessed by study questionnaire and by data linkage: The CONCUR study.

Mohammad Shahbaz, Jane E Harding, Barry Milne, Anthony Walters, Lisa Underwood, Martin von Randow, Lois Xu, Greg D Gamble, ANCHOR Study Group

Abstract readComparative Study
In one paragraph

Article in Clinical trials (London, England), 2025. 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
–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.

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.

  1. Trial
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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

9 authors.

Mohammad ShahbazLiggins Institute, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-6953-6183
Jane E HardingLiggins Institute, The University of Auckland, Auckland, New Zealand.
Barry MilneCentre of Methods and Policy Application in Social Sciences, The University of Auckland, Auckland, New Zealand.
Anthony WaltersLiggins Institute, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-9129-6024
Lisa UnderwoodCentre of Methods and Policy Application in Social Sciences, The University of Auckland, Auckland, New Zealand.
Martin von RandowCentre of Methods and Policy Application in Social Sciences, The University of Auckland, Auckland, New Zealand.
Lois XuCentre of Methods and Policy Application in Social Sciences, The University of Auckland, Auckland, New Zealand.
Greg D GambleLiggins Institute, The University of Auckland, Auckland, New Zealand.
ANCHOR Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsSelf-reported questionnaires on health status after randomized trials can be time-consuming, costly, and potentially unreliable. Administrative data sets may provide cost-effective, less biased information, but it is uncertain how administrative and self-reported data compare to identify chronic conditions in a New Zealand cohort. This study aimed to determine whether record linkage could replace self-reported questionnaires to identify chronic conditions that were the outcomes of interest for trial follow-up.

methodsParticipants in 50-year follow-up of a randomized trial were asked to complete a questionnaire and to consent to accessing administrative data. The proportion of participants with diabetes, pre-diabetes, hyperlipidaemia, hypertension, mental health disorders, and asthma was calculated using each data source and agreement between data sources assessed.

resultsParticipants were aged 49 years (SD = 1,

conclusionsA combination of questionnaire, pharmaceutical, and laboratory data with expert panel review were required to identify participants with chronic conditions of interest in this follow-up of a clinical trial.

Indexed as

Information Storage and RetrievalMedical Record LinkageRandomized Controlled Trials as TopicChronic DiseaseFemaleFollow-Up StudiesHealth StatusHumansMaleMiddle AgedNew ZealandSelf ReportSurveys and Questionnairesadministrative data setsagreementdata linkagefollow-up studySelf-reported questionnaire

Identifiers

PMID38907609
PMCPMC11809116

What Socratic holds

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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 Socratic graph.