Evidence map›Paper›PMID 31848174›Full record

ArticleBMJ open2019

Improving accuracy of self-reported diagnoses of rheumatoid arthritis in the French prospective E3N-EPIC cohort: a validation study.

Yann Nguyen, Carine Salliot, Gaëlle Gusto, Elise Descamps, Xavier Mariette, Marie-Christine Boutron-Ruault, Raphaèle Seror

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Yann NguyenCentre for Research in Epidemiology and Population Health, (CESP), INSERM U1018, Université Paris-Saclay, Université Paris-Sud, Villejuif, France.ORCID 0000-0002-0866-3824
Carine SalliotCentre for Research in Epidemiology and Population Health, (CESP), INSERM U1018, Université Paris-Saclay, Université Paris-Sud, Villejuif, France.
Gaëlle GustoCentre for Research in Epidemiology and Population Health, (CESP), INSERM U1018, Université Paris-Saclay, Université Paris-Sud, Villejuif, France.
Elise DescampsRheumatology, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpitaux universitaires Paris-Sud - Hôpital Bicêtre, Le Kremlin-Bicetre, France.
Xavier MarietteRheumatology, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpitaux universitaires Paris-Sud - Hôpital Bicêtre, Le Kremlin-Bicetre, France.
Marie-Christine Boutron-RuaultCentre for Research in Epidemiology and Population Health, (CESP), INSERM U1018, Université Paris-Saclay, Université Paris-Sud, Villejuif, France marie-christine.BOUTRON@gustaveroussy.fr.
Raphaèle SerorRheumatology, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpitaux universitaires Paris-Sud - Hôpital Bicêtre, Le Kremlin-Bicetre, France.
Université Paris-Sud · FRAssistance Publique – Hôpitaux de Paris · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe French E3N-EPIC (

designA validation study.

participantsWomen who self-reported an inflammatory rheumatic disease (IRD) were asked to provide access to their medical record, and to answer an IRD questionnaire. Medical records were independently reviewed. PRIMARY AND SECONDARY OUTCOME MEASURES: Positive predictive values (PPV) of self-reported RA alone, then coupled with the IRD questionnaire, and with a medication reimbursement database were assessed. These algorithms were then applied to the whole cohort to ascertain RA cases.

resultsOf the 98 995 participants, 2692 self-reported RA. Medical records were available for a sample of 399 participants, including 305 who self-reported RA. Self-reported RA was accurate only for 42% participants. Combining self-reported diagnoses to answers to a specific IRD questionnaire or to the medication reimbursement database improved the PPV (75.6% and 90.1%, respectively). Using the devised algorithms, we could identify 964 RA cases in our cohort.

conclusionAccuracy of self-reported RA is poor but adding answers to a specific questionnaire or data from a medication reimbursement database performed satisfactorily to identify RA cases in our cohort. It will subsequently allow investigating many potential risk factors of RA in women.

Indexed as

AdultAlgorithmsArthritis, RheumatoidCase-Control StudiesDecision Support TechniquesFemaleFranceHumansMiddle AgedProspective StudiesReproducibility of ResultsRisk AssessmentSelf ReportSensitivity and SpecificitySpondylarthritisSurveys and Questionnairesaccuracycohortepidemiologyrheumatoid arthritisrisk factorsself-report

Identifiers

PMID31848174
PMCPMC6937120
OpenAlexW2996388006

What OpenQuestion holds

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LicenceCC BY-NC
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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.