Evidence map›Paper›PMID 23617453›Full record

ReviewBritish journal of clinical pharmacology2014

Overview of methods for comparing the efficacies of drugs in the absence of head-to-head clinical trial data.

Hansoo Kim, Lyle Gurrin, Zanfina Ademi, Danny Liew

Abstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Review
  10. Review
  11. Article
  12. An Epidemiologic Approach for Estimating Risk Reduction and Asymptotic Power on the Log-Difference Scale.International journal of environmental research and public health · 2025
    Article
  13. Article
  14. Review
  15. Area under the curve: Comparing the value of factor VIII replacement therapies in haemophilia A.Haemophilia : the official journal of the World Federation of Hemophilia · 2023
    Article
  16. Article
  17. Review
  18. Review
  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

4 authors.

Hansoo KimMelbourne EpiCentre, Department of Medicine (Royal Melbourne Hospital), The University of Melbourne, Parkville, VIC, 3010, Australia.
Lyle Gurrin
Zanfina Ademi
Danny Liew

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In most therapeutic areas, multiple drug options are increasingly becoming available, but there is often a lack of evidence from head-to-head clinical trials that allows for direct comparison of the efficacy and/or safety of one drug vs. another. This review provides an introduction to, and overview of, common methods used for comparing drugs in the absence of head-to-head clinical trial evidence. Naïve direct comparisons are in most instances inappropriate and should only be used for exploratory purposes and when no other options are possible. Adjusted indirect comparisons are currently the most commonly accepted method and use links through one or more common comparators. Mixed treatment comparisons (MTCs) use Bayesian statistical models to incorporate all available data for a drug, even data that are not relevant to the comparator drug. MTCs reduce uncertainty but have not yet been widely accepted by researchers, nor drug regulatory and reimbursement authorities. All indirect analyses are based on the same underlying assumption as meta-analyses, namely that the study populations in the trials being compared are similar.

Indexed as

Bayes TheoremClinical Trials as TopicPharmaceutical PreparationsTreatment OutcomeDecision Support TechniquesEvidence-Based MedicineHumansPharmaceutical Preparationsadjusted indirect comparisonmixed treatment comparisonnaïve direct comparison

Identifiers

PMID23617453
PMCPMC3895352

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.