Evidence map›Paper›PMID 22033606›Full record

ArticlePLoS currents2011

DEALING WITH DISASTER DATABASES - WHAT CAN WE LEARN FROM HEALTH AND SYSTEMATIC REVIEWS?: Application in practice.

Ishani Kar-Purkayastha, Mike Clarke, Virginia Murray

Abstract read
In one paragraph

Article in PLoS currents, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Infrastructural Aspects of Rain-Related Cascading Disasters: A Systematic Literature Review.International journal of environmental research and public health · 2020
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Disaster preparedness and response improvement: comparison of the 2010 Haiti earthquake-related diagnoses with baseline medical data.European journal of emergency medicine : official journal of the European Society for Emergency Medicine · 2017
    Article
  6. Article
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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.

Ishani Kar-PurkayasthaSpecialist Registrar in Public Health & Clinical Toxicology, Centre for Radiation, Chemicals and Environmental Hazards, Health Protection Agency; Director, All Ireland Hub for Trials Methodology Research; Evidence Aid and Head of Extreme Events and Health Protection Centre for Radiation, Chemicals and Environmental Hazards, Health Protection Agency, London UK.
Mike Clarke
Virginia Murray

Funding

Medical Research Council G0901530
6 · The paper itself

Abstract

There is an increasing move towards facilitating the use of research findings in policy and practice relating to disaster risk reduction and response. One of the key issues is the quality of the evidence available to decision-makers. Disaster databases, as a key resource, represent a tremendous investment of effort and goodwill. However, their usefulness is limited by the variability in how they are compiled, differences in the output they produce, a general lack of comparability and standardization, and the fact that they might produce different results due to the ways they have been created or by chance. One possible solution to this, which has been applied successfully in evidence synthesis in health care is the systematic review. In this study we attempt to show how the systematic review process may be applied to information and data that is held in disaster databases. We demonstrate that systematic reviews of disaster databases can be achieved in a technical sense and the potential value of such reviews, but also discuss the practical difficulties that arise. Key wordsSystematic review, evidence, disaster database.

Identifiers

PMID22033606
PMCPMC3201635

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.