Evidence map›Paper›PMID 16100321›Full record

ArticleJournal of epidemiology and community health2005

Systematic reviews of health effects of social interventions: 1. Finding the evidence: how far should you go?

David Ogilvie, Val Hamilton, Matt Egan, Mark Petticrew

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 10 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

40 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  6. Checking reference lists to find additional studies for systematic reviews.The Cochrane database of systematic reviews · 2011
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  15. Optimal literature search for systematic reviews in surgery.Langenbeck's archives of surgery · 2018
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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

4 authors.

David OgilvieMRC Social and Public Health Sciences Unit, University of Glasgow, 4 Lilybank Gardens, Glasgow G12 8RZ, UK. d.ogilvie@msoc.mrc.gla.ac.uk
Val Hamilton
Matt Egan
Mark Petticrew

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectiveThere is little guidance on how to identify useful evidence about the health effects of social interventions. The aim of this study was to assess the value of different ways of finding this type of information.

designRetrospective analysis of the sources of studies for one systematic review.

settingCase study of a systematic review of the effectiveness of interventions in promoting a population shift from using cars towards walking and cycling. MAIN

resultsOnly four of the 69 relevant studies were found in a "first-line" health database such as Medline. About half of all relevant studies were found through the specialist Transport database. Nine relevant studies were found through purposive internet searches and seven relevant studies were found by chance. The unique contribution of experts was not to identify additional studies, but to provide more information about those already found in the literature.

conclusionsMost of the evidence needed for this review was not found in studies indexed in familiar literature databases. Applying a sensitive search strategy across multiple databases and interfaces is very labour intensive. Retrospective analysis suggests that a more efficient method might have been to search a few key resources, then to ask authors and experts directly for the most robust reports of studies identified. However, internet publications and serendipitous discoveries did make a significant contribution to the total set of relevant evidence. Undertaking a comprehensive search may provide unique evidence and insights that would not be obtained using a more focused search.

Indexed as

Review Literature as TopicAutomobile DrivingBicyclingDatabases, BibliographicData CollectionEvidence-Based MedicineHealth PromotionHumansInternetPublic HealthResearch DesignRetrospective StudiesWalking

Identifiers

PMID16100321
PMCPMC1733146

What OpenQuestion holds

Textmetadata
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.