Evidence map›Paper›PMID 20356818›Full record

SynthesisEnvironmental health perspectives2010

Case-crossover analysis of air pollution health effects: a systematic review of methodology and application.

Eduardo Carracedo-Martínez, Margarita Taracido, Aurelio Tobias, Marc Saez, Adolfo Figueiras

Abstract readSystematic Review
In one paragraph

Synthesis in Environmental health perspectives, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 6 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

136 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  12. Differential impacts of short-term PMScience China. Life sciences · 2026
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76 more citing papers are in PubMed but not listed here.

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

5 authors.

Eduardo Carracedo-MartínezDepartment of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain.
Margarita Taracido
Aurelio Tobias
Marc Saez
Adolfo Figueiras

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCase-crossover is one of the most used designs for analyzing the health-related effects of air pollution. Nevertheless, no one has reviewed its application and methodology in this context.

objectiveWe conducted a systematic review of case-crossover (CCO) designs used to study the relationship between air pollution and morbidity and mortality, from the standpoint of methodology and application. DATA SOURCES AND EXTRACTION: A search was made of the MEDLINE and EMBASE databases.Reports were classified as methodologic or applied. From the latter, the following information was extracted: author, study location, year, type of population (general or patients), dependent variable(s), independent variable(s), type of CCO design, and whether effect modification was analyzed for variables at the individual level. DATA SYNTHESIS: The review covered 105 reports that fulfilled the inclusion criteria. Of these, 24 addressed methodological aspects, and the remainder involved the design's application. In the methodological reports, the designs that yielded the best results in simulation were symmetric bidirectional CCO and time-stratified CCO. Furthermore, we observed an increase across time in the use of certain CCO designs, mainly symmetric bidirectional and time-stratified CCO. The dependent variables most frequently analyzed were those relating to hospital morbidity; the pollutants most often studied were those linked to particulate matter. Among the CCO-application reports, 13.6% studied effect modification for variables at the individual level.

conclusionsThe use of CCO designs has undergone considerable growth; the most widely used designs were those that yielded better results in simulation studies: symmetric bidirectional and time-stratified CCO. However, the advantages of CCO as a method of analysis of variables at the individual level are put to little use.

Indexed as

Environmental ExposureEpidemiologic Research DesignAir PollutantsHumansMorbidityMortalityAir Pollutants

Identifiers

PMID20356818
PMCPMC2920078

What OpenQuestion holds

Textmetadata
LicenceCC0
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.