Evidence map›Paper›PMID 40541434›Full record

ArticleBMJ open2025

What is the added value of handsearching Hungarian medical journals and grey literature for identifying controlled clinical trials? Protocol for a meta-epidemiological study.

László Czina, Krisztina Horváthné Veres, Zsuzsanna Némethné Kontár, Edit Bőszné Murányi, Anette Blümle, Szimonetta Lohner

Abstract read
In one paragraph

Article in BMJ open, 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
–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

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

6 authors.

László CzinaCochrane Hungary, Medical School, University of Pécs, Pécs, Hungary laszlo.czina@pte.hu.ORCID http://orcid.org/0009-0008-5535-6326
Krisztina Horváthné VeresPekár Mihály Medical and Life Sciences Library, University of Pécs, Pécs, Hungary.
Zsuzsanna Némethné KontárMTA-PTE Lendület 'Momentum' Evidence in Medicine Research Group, Department of Public Health Medicine, University of Pécs, Pécs, Hungary.
Edit Bőszné MurányiMTA-PTE Lendület 'Momentum' Evidence in Medicine Research Group, Department of Public Health Medicine, University of Pécs, Pécs, Hungary.
Anette BlümleClinical Trials Unit, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.
Szimonetta LohnerCochrane Hungary, Medical School, University of Pécs, Pécs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRandomised controlled trials (RCTs) are considered the gold standard for evaluating the efficacy and safety of healthcare interventions. For valid systematic reviews and evidence-based clinical guidelines, it is essential that results of all eligible RCTs are accessible. However, articles about trials published in languages other than English are often not listed in well-known and open trial databases like Medline and therefore scarcely findable. Handsearching national journals is an important approach to identify these articles and enhance their global visibility. Consequently, the results of trials conducted and published in non-English-speaking countries are not lost but rather integrated into the global body of evidence.The present study aims to evaluate the benefits of extensive handsearching in Hungary and to identify key medical fields for future efforts. We will also assess the extent of grey literature in Hungary. We will appraise the risk of bias in the identified RCTs and controlled clinical trials (CCTs; indicating quasi-randomised or possibly randomised controlled trials) and examine the reporting quality of articles in Hungarian medical journals. Additionally, we will explore whether the automation tool Paperfetcher, recommended by Cochrane for handsearching, can effectively support these efforts in a non-English language context. METHODS AND ANALYSIS: We will conduct a cover-to-cover handsearch of all Hungarian medical journals publishing content in the year 2023 to identify all controlled clinical trials, including RCTs, CCTs and non-RCTs, which are trials that use a clearly non-random method for allocating participants to groups. We will also search conference proceedings submitted to the Hungarian National Széchényi Library, abstract supplements from journals available via the Hungarian Medical Bibliography database, preprints available on medRxiv, Hungarian theses and dissertations, as well as Google Scholar to identify grey literature.Two independent researchers will screen the identified records, assess their eligibility, extract data and evaluate the risk of bias and reporting quality according to the CONSORT statement. To verify the availability of reports and publications derived from the identified trials in electronic databases, we will systematically search MEDLINE, the Cochrane Central Register of Controlled Trials (CENTRAL), Embase and Scopus. All identified RCTs and CCTs not yet included in CENTRAL will be added to the database. Additionally, we will compare handsearching supported by the Paperfetcher tool with unsupported handsearching to evaluate the tool's effectiveness in a Hungarian language context. ETHICS AND DISSEMINATION: Since the publication resulting from the handsearching activity is a retrospective review of publicly available sources of evidence, ethical approval is not required. The study findings will be submitted for publication in a peer-reviewed journal and will be presented at international conferences.

Indexed as

Controlled Clinical Trials as TopicInformation Storage and RetrievalPeriodicals as TopicRandomized Controlled Trials as TopicEpidemiologic StudiesHumansHungaryResearch DesignClinical TrialInformation Storage and RetrievalRandomized Controlled TrialResearch Design

Identifiers

PMID40541434
PMCPMC12182136

What OpenQuestion holds

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Registered trials

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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.