Evidence map›Paper›PMID 27473226›Full record

ArticleBMC medical research methodology2016

The development of PubMed search strategies for patient preferences for treatment outcomes.

Ralph van Hoorn, Wietske Kievit, Andrew Booth, Kati Mozygemba, Kristin Bakke Lysdahl, Pietro Refolo, Dario Sacchini, Ansgar Gerhardus, Gert Jan van der Wilt, Marcia Tummers

Abstract read
In one paragraph

Article in BMC medical research methodology, 2016. 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
–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

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

  1. Pooled it
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  4. Patient-preferred outcomes in patients with vestibular schwannoma: a qualitative content analysis of symptoms, side effects and their impact on health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
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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

10 authors.

Ralph van HoornRadboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands. Ralph.vanHoorn@radboudumc.nl.ORCID 0000-0003-1413-1602
Wietske KievitRadboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Andrew BoothHealth Economics and Decision Science (HEDS), School of Health and Related Research (ScHARR), University of Sheffield Regent Court, Sheffield, United Kingdom.
Kati MozygembaDepartment of Health Services Research, Institute for Public Health and Nursing Research (IPP), University of Bremen, Bremen, Germany.
Kristin Bakke LysdahlCentre for Medical Ethics, University of Oslo, Oslo, Norway.
Pietro RefoloInstitute of Bioethics and Medical Humanities, "A. Gemelli" School of Medicine, Università Cattolica del Sacro Cuore, Rome, Italy.
Dario SacchiniInstitute of Bioethics and Medical Humanities, "A. Gemelli" School of Medicine, Università Cattolica del Sacro Cuore, Rome, Italy.
Ansgar GerhardusDepartment of Health Services Research, Institute for Public Health and Nursing Research (IPP), University of Bremen, Bremen, Germany.
Gert Jan van der WiltDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Marcia TummersRadboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe importance of respecting patients' preferences when making treatment decisions is increasingly recognized. Efficiently retrieving papers from the scientific literature reporting on the presence and nature of such preferences can help to achieve this goal. The objective of this study was to create a search filter for PubMed to help retrieve evidence on patient preferences for treatment outcomes.

methodsA total of 27 journals were hand-searched for articles on patient preferences for treatment outcomes published in 2011. Selected articles served as a reference set. To develop optimal search strategies to retrieve this set, all articles in the reference set were randomly split into a development and a validation set. MeSH-terms and keywords retrieved using PubReMiner were tested individually and as combinations in PubMed and evaluated for retrieval performance (e.g. sensitivity (Se) and specificity (Sp)).

resultsOf 8238 articles, 22 were considered to report empirical evidence on patient preferences for specific treatment outcomes. The best search filters reached Se of 100 % [95 % CI 100-100] with Sp of 95 % [94-95 %] and Sp of 97 % [97-98 %] with 75 % Se [74-76 %]. In the validation set these queries reached values of Se of 90 % [89-91 %] with Sp 94 % [93-95 %] and Se of 80 % [79-81 %] with Sp of 97 % [96-96 %], respectively.

conclusionsNarrow and broad search queries were developed which can help in retrieving literature on patient preferences for treatment outcomes. Identifying such evidence may in turn enhance the incorporation of patient preferences in clinical decision making and health technology assessment.

Indexed as

PubMedHumansPatient PreferenceTreatment OutcomeEvidence-based medicine*Information storage and retrieval/methods*MEDLINEPatient preferencesTreatment outcome

Identifiers

PMID27473226
PMCPMC4966584

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.