Evidence map›Paper›PMID 41626919›Full record

ArticleResearch synthesis methods2025

Translation and validation of a geographic search filter to identify studies about Germany in Embase (Ovid) and MEDLINE(R) ALL (Ovid).

Alexander Pachanov, Catharina Muente, Julian Hirt, Dawid Pieper

Abstract readValidation Study
In one paragraph

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

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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

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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

4 authors.

Alexander PachanovFaculty of Health Sciences Brandenburg, Brandenburg Medical School (Theodor Fontane), Institute for Health Services and Health System Research, Rüdersdorf, Germany.ORCID https://orcid.org/0000-0003-2579-3142
Catharina MuenteFaculty of Health Sciences Brandenburg, Brandenburg Medical School (Theodor Fontane), Institute for Health Services and Health System Research, Rüdersdorf, Germany.ORCID https://orcid.org/0000-0002-3640-4010
Julian HirtPragmatic Evidence Lab, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), https://ror.org/04k51q396University Hospital Basel and University of Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0001-6589-3936
Dawid PieperFaculty of Health Sciences Brandenburg, Brandenburg Medical School (Theodor Fontane), Institute for Health Services and Health System Research, Rüdersdorf, Germany.ORCID https://orcid.org/0000-0002-0715-5182

Funding

Deutsche Forschungsgemeinschaft F-113113
6 · The paper itself

Abstract

We developed a geographic search filter for retrieving studies about Germany from PubMed. In this study, we aimed to translate and validate it for use in Embase and MEDLINE(R) ALL via Ovid. Adjustments included aligning PubMed field tags with Ovid's syntax, adding a keyword heading field for both databases, and incorporating a correspondence address field for Embase. To validate the filters, we used systematic reviews (SRs) that included studies about Germany without imposing geographic restrictions on their search strategies. Subsequently, we conducted (i) case studies (CSs), applying the filters to the search strategies of the 17 eligible SRs; and (ii) aggregation studies, combining the SRs' search strategies with the 'OR' operator and applying the filters. In the CSs, the filters demonstrated a median sensitivity of 100% in both databases, with interquartile ranges (IQRs) of 100%-100% in Embase and 93.75%-100% in MEDLINE(R) ALL. Median precision improved from 0.11% (IQR: 0.05%-0.30%) to 1.65% (IQR: 0.78%-3.06%) and from 0.19% (IQR: 0.11%-0.60%) to 5.13% (IQR: 1.77%-6.85%), while the number needed to read (NNR) decreased from 893.40 (IQR: 354.81-2,219.58) to 60.44 (IQR: 33.94-128.97) and from 513.29 (IQR: 167.35-930.99) to 19.50 (IQR: 14.66-59.35) for Embase and MEDLINE(R) ALL, respectively. In the aggregation studies, the overall sensitivities were 98.19% and 97.14%, with NNRs of 83.29 and 33.34 in Embase and MEDLINE(R) ALL, respectively. The new Embase and MEDLINE(R) ALL filters for Ovid reliably retrieve studies about Germany, enhancing search precision. The approach described in our study can support search filter developers in translating filters for various topics and contexts.

Indexed as

Databases, BibliographicInformation Storage and RetrievalMEDLINESearch EngineGermanyHumansPubMedReproducibility of ResultsSensitivity and SpecificitySystematic Reviews as Topicbibliographic databasesEmbasegeographic search filtersMEDLINEOvid

Identifiers

PMID41626919
PMCPMC12527497

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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.