Evidence map›Paper›PMID 10890874›Full record

ReviewJournal of epidemiology and community health2000

What is the "golden standard" for assessing population-based interventions?--problems of dilution bias.

L Lindholm, M Rosén

Abstract readReview
In one paragraph

Review in Journal of epidemiology and community health, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Validity of predictions in health impact assessment.Journal of epidemiology and community health · 2007
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

L LindholmDepartment of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
M Rosén

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify different types of dilution bias in population-based interventions and to suggest measures for handling these methodological problems.

designLiterature review plus analysis of data from a population-based intervention against cardiovascular disease in a Swedish municipality. MAIN

resultsThe effects of an intervention on mortality and morbidity were much more diluted by non-intervening factors, dissemination to areas outside the intervention area, social diffusion, population mobility and time than by using intermediate outcome measures.

conclusionsTheoretically, changes in scientifically well documented risk factors, for example, intermediate outcome measures, should be preferred to using morbidity or mortality as outcome measures.

Indexed as

BiasAdultCardiovascular DiseasesEvaluation Studies as TopicHumansMiddle AgedSwedenTreatment Outcome

Identifiers

PMID10890874
PMCPMC1731718

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.