Evidence map›Paper›PMID 41390632›Full record

ArticleBMC primary care2025

Research methods in family medicine: an exploratory study of eleven years of congress programs using GPT-5.

Jonas Cittadino, Jost Steinhäuser

Abstract read
In one paragraph

Article in BMC primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jonas CittadinoInstitute of Family Medicine, University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany. jonas.cittadino@uni-luebeck.de.
Jost SteinhäuserInstitute of Family Medicine, University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.ORCID 0000-0002-9386-6078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScientific conferences reflect trends in Family Medicine research and education. In Germany, the annual congress program of the German Society of General Practice and Family Medicine (DEGAM) encompasses a wide range of topics and is publicly accessible. However, little is known about how research methodologies and topics evolve over time.

methodsAll program items from the DEGAM conferences from 2014 to 2024 were analyzed. Using the Large Language Model GPT-5, each item was automatically categorized by research methodology and topic. Descriptive statistics were used to summarize trends.

resultsA total of 2,869 program items were identified. Quantitative and interventional studies constituted 53.5% of all methodologies, while qualitative and mixed-methods accounted for 33.1%. The relative proportions remained largely unchanged over the eleven-year period, however future-oriented topics such as eHealth or sustainability do emerge. Although diverse topics were represented, they showed no clear methodological evolution in every topic.

conclusionsThis first exploratory analysis of a national Family Medicine conference series shows that, while the thematic range is broad, research methodologies remain stable. Therefore, as in patient care, academic Family Medicine is the 'decathlon' of health service research, too.

Indexed as

Congresses as TopicFamily PracticeResearch DesignGermanyHumansComparative studyData setGeneral practiceGerman society of general practice and family medicineLarge language modelsPrimary care

Identifiers

PMID41390632
PMCPMC12822292

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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 OpenQuestion graph.