Evidence map›Paper›PMID 29228914›Full record

ArticleBMC medical research methodology2017

Methods to perform systematic reviews of patient preferences: a literature survey.

Tsung Yu, Nomin Enkh-Amgalan, Ganchimeg Zorigt

Abstract read
In one paragraph

Article in BMC medical research methodology, 2017. 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.

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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

3 authors.

Tsung YuDepartment of Public Health, China Medical University, No 91 Hsueh-Shih Road, Taichung, Taiwan. tsung.yu.cmu@gmail.com.ORCID http://orcid.org/0000-0002-5773-3665
Nomin Enkh-AmgalanDepartment of Public Health, China Medical University, No 91 Hsueh-Shih Road, Taichung, Taiwan.
Ganchimeg ZorigtDepartment of Public Health, China Medical University, No 91 Hsueh-Shih Road, Taichung, Taiwan.

Funding

Ministry of Science and Technology, Taiwan MOST 106-2314- B-039- 001
6 · The paper itself

Abstract

backgroundSystematic reviews are a commonly used research design in the medical field to synthesize study findings. At present-although several systematic reviews of patient preference studies are published-there is no clear guidance available for researchers to conduct this type of systematic review. The aim of our study was to learn the most current practice of conducting these systematic reviews by conducting a survey of the literature regarding reviews of quantitative patient preference studies.

methodsOur survey included systematic reviews of studies that used a stated quantitative preference design to elicit patient preferences. We identified eligible reviews through a search of the PubMed database. Two investigators with knowledge of the design of patient preference studies independently screened the titles and abstracts, and where needed, screened the full-text of the reviews to determine eligibility. We developed and pilot-tested a form to extract data on the methods used in each systematic review.

resultsOur search and screening identified 29 eligible reviews. A large proportion of the reviews (19/29, 66%) were published in 2014 or after; among them, nine reviews were published in 2016. The median number of databases searched for preference studies was four (interquartile range = 2 to 7). We found that less than half of the reviews (13/29, 45%) clearly reported assessing risk of bias or the methodological quality of the included preference studies; not a single review was able to perform quantitative synthesis (meta-analysis) of the data on patient preferences.

conclusionThese results suggest that several methodological issues of performing systematic reviews of patient preferences are not yet fully addressed by research and that the methodology may require future development.

Indexed as

Patient PreferenceReview Literature as TopicHumansStatistics as TopicMeta-analysisPatient preferenceSystematic review

Identifiers

PMID29228914
PMCPMC5725984

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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.