Evidence map›Paper›PMID 21382513›Full record

ArticleContemporary clinical trials2011

Cluster randomized trials of cancer screening interventions: are appropriate statistical methods being used?

Catherine M Crespi, Annette E Maxwell, Sheng Wu

Abstract read
In one paragraph

Article in Contemporary clinical trials, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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.

Catherine M CrespiDepartment of Biostatistics, University of California, Los Angeles, School of Public Health, Center for the Health Sciences , Los Angeles, CA 90095-1772, USA. ccrespi@ucla.edu
Annette E Maxwell
Sheng Wu

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Promoting Hepatitis B Screening for Vietnamese American AdultsP01CA109091 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MAXWELL, ANNETTE · 2006 to 2010
$7.8M
New Methods for the Design of Cancer Studies with Clustered Binary OutcomesR03CA137827 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CRESPI, CATHERINE · 2009 to 2010
$154k
NCI NIH HHS CA137827NCI NIH HHS CA16042NCI NIH HHS P01 CA109091NCI NIH HHS P30 CA016042NCI NIH HHS R03 CA137827
6 · The paper itself

Abstract

The design and analysis of cluster randomized trials can require more sophistication than individually randomized trials. However, the need for statistical methods that account for the clustered design has not always been appreciated, and past reviews have found widespread deficiencies in methodology and reporting. We reviewed cluster randomized trials of cancer screening interventions published in 1995-2010 to determine whether the use of appropriate statistical methods had increased over time. Literature searches yielded 50 articles reporting outcome analyses of cluster randomized trials of breast, cervix and colorectal cancer screening interventions. Of studies published in 1995-1999, 2000-2002, 2003-2006 and 2007-2010, 55% (6/11), 82% (9/11), 92% (12/13) and 60% (9/15) used appropriate analytic methods, respectively. Results were suggestive of a peak in 2003-2006 (p =.06) followed by a decline in 2007-2010 (p =.08). While the sample of studies was small, these results indicate that many cluster randomized trials of cancer screening interventions have had deficiencies in the application of correct statistical procedures for the outcome analysis, and that increased adoption of appropriate methods in the early and mid-2000's may not have been sustained.

Indexed as

Data Interpretation, StatisticalEarly Detection of CancerHumansJournal Impact FactorLogistic ModelsOutcome Assessment, Health CareRandomized Controlled Trials as Topic

Identifiers

PMID21382513
PMCPMC3104062

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.