Evidence map›Paper›PMID 24033757›Full record

ReviewBritish journal of clinical pharmacology2015

What do we learn from repeated population analyses?

Stephen B Duffull, Daniel F B Wright

Abstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Population pharmacokinetics of bedaquiline: a systematic review.European journal of clinical pharmacology · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. How to Handle Delayed or Missed Doses: A Population Pharmacokinetic Perspective.European journal of drug metabolism and pharmacokinetics · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. 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

2 authors.

Stephen B DuffullSchool of Pharmacy, University of Otago, PO Box 56, Dunedin, New Zealand.
Daniel F B Wright

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population analyses are performed on new and existing drugs. They play an important role in quantifying the time course of drug effects and provide a means of understanding the impact of variability between individuals on dosing requirements. For some drugs there have been several population analyses reported in the literature. It is important to understand how repeated population analyses can value add and what authors and readers can consider when reviewing such analyses. The purpose of this review is to explore what is learnt from repeated population analyses and provide an understanding of how the value-added nature of these analyses can be considered.

Indexed as

Models, BiologicalEnoxaparinHumansEnoxaparinenoxaparinpopulation PK

Identifiers

PMID24033757
PMCPMC4294075

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.