Evidence map›Paper›PMID 27499726›Full record

ArticleGerman medical science : GMS e-journal2016

Evidence mapping for decision making: feasibility versus accuracy - when to abandon high sensitivity in electronic searches.

Barbara Buchberger, Laura Krabbe, Beate Lux, Jessica Tajana Mattivi

Abstract read
In one paragraph

Article in German medical science : GMS e-journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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.

Barbara BuchbergerUniversity of Duisburg-Essen, Faculty of Economics and Business Administration, Institute for Health Care Management and Research, Essen, Germany.
Laura KrabbeUniversity of Duisburg-Essen, Faculty of Economics and Business Administration, Institute for Health Care Management and Research, Essen, Germany.
Beate LuxUniversity of Duisburg-Essen, Faculty of Economics and Business Administration, Institute for Health Care Management and Research, Essen, Germany.
Jessica Tajana MattiviUniversity of Duisburg-Essen, Faculty of Economics and Business Administration, Institute for Health Care Management and Research, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMapping the evidence is a relatively new methodological approach and may be helpful for the development of research questions and decisions about their relevance and priority. However, the amount of data available today leads to challenges for scientists sometimes being confronted with literature searches retrieving over 30,000 results for screening.

objectivesWe conducted an evidence mapping of the topic "diabetes and driving" to investigate its suitability for an evidence-based national clinical guideline. In addition, we compared a highly sensitive search with a highly specific one.

methodsBased on a systematic review, our database searches were limited to publications from 2002 to present in English and German language.

resultsDue to the strongly focused topic and the limits, our sensitive search identified a manageable number of references including sufficient evidence to answer our research question. Using the specific search strategy, we achieved a reduction of citations by 25%, concurrently identifying 88% of relevant references.

conclusionsEvidence mapping with the intention of gaining an overview of a research field does not require high level accuracy in contrary to systematic reviews. Keeping this distinction in mind, a mass of extraneous information will be avoided by using specific instead of highly sensitive search strategies.

Indexed as

Decision MakingDecision Support TechniquesInformation Storage and RetrievalAutomobile DrivingDiabetes MellitusHumansInformation Seeking BehaviorReview Literature as TopicSearch EngineEvidence mappingreview literaturesearch strategysensitivityspecificity

Identifiers

PMID27499726
PMCPMC4951635

What OpenQuestion holds

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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.