Evidence map›Paper›PMID 12238954›Full record

GuidelineBMC medical research methodology2002

Statistical issues in randomized trials of cancer screening.

Stuart G Baker, Barnett S Kramer, Philip C Prorok

Abstract readGuidelinePractice Guideline
In one paragraph

Guideline in BMC medical research methodology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Limitations in the Effect of Screening on Breast Cancer Mortality.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Observational
  8. Article
  9. Response.Canadian family physician Medecin de famille canadien · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Cancer screening trials: nuts and bolts.Seminars in oncology · 2010
    Article
  14. Article
  15. Early reporting for cancer screening trials.Journal of medical screening · 2008
    Article
  16. Article
  17. Article
  18. Article
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.

Stuart G BakerDivision of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA. sb16i@nih.gov
Barnett S Kramer
Philip C Prorok

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe evaluation of randomized trials for cancer screening involves special statistical considerations not found in therapeutic trials. Although some of these issues have been discussed previously, we present important recent and new methodologies.

methodsOur emphasis is on simple approaches.

resultsWe make the following recommendations: (1) Use death from cancer as the primary endpoint, but review death records carefully and report all causes of death; (2) Use a simple "causal" estimate to adjust for nonattendance and contamination occurring immediately after randomization; (3) Use a simple adaptive estimate to adjust for dilution in follow-up after the last screen

conclusionThe proposed guidelines combine recent methodological work on screening endpoints and noncompliance/contamination with a new adaptive method to adjust for dilution in a study where follow-up continues after the last screen. These guidelines ensure good practice in the design and analysis of randomized trials of cancer screening.

Indexed as

Endpoint DeterminationHumansNeoplasmsPatient SelectionRandomized Controlled Trials as TopicTime FactorsTreatment Refusal

Identifiers

PMID12238954
PMCPMC130026

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.