Evidence map›Paper›PMID 24138438›Full record

ArticleJournal of biopharmaceutical statistics2013

Covariate imbalance and adjustment for logistic regression analysis of clinical trial data.

Jody D Ciolino, Renée H Martin, Wenle Zhao, Edward C Jauch, Michael D Hill, Yuko Y Palesch

Abstract read
In one paragraph

Article in Journal of biopharmaceutical statistics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Jody D Ciolinoa The EMMES Corporation , Rockville , Maryland , USA.
Renée H Martin
Wenle Zhao
Edward C Jauch
Michael D Hill
Yuko Y Palesch

Funding

Biostatistics Training with Application to NeuroscienceT32NS048007 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI PALESCH, YUKO Y · 2005 to 2009
$632k
NINDS NIH HHS T32 NS048007
6 · The paper itself

Abstract

In logistic regression analysis for binary clinical trial data, adjusted treatment effect estimates are often not equivalent to unadjusted estimates in the presence of influential covariates. This article uses simulation to quantify the benefit of covariate adjustment in logistic regression. However, International Conference on Harmonization guidelines suggest that covariate adjustment be prespecified. Unplanned adjusted analyses should be considered secondary. Results suggest that if adjustment is not possible or unplanned in a logistic setting, balance in continuous covariates can alleviate some (but never all) of the shortcomings of unadjusted analyses. The case of log binomial regression is also explored.

Indexed as

Data Interpretation, StatisticalLogistic ModelsBrain IschemiaClinical Trials as TopicComputer SimulationFibrinolytic AgentsHumansNumerical Analysis, Computer-AssistedOdds RatioResearch DesignSeverity of Illness IndexStrokeThrombolytic TherapyTissue Plasminogen ActivatorTreatment OutcomeFibrinolytic AgentsTissue Plasminogen Activator

Identifiers

PMID24138438
PMCPMC4279871

What OpenQuestion holds

Textmetadata
LicenceTDM
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.