Evidence map›Paper›PMID 2106931›Full record

ArticleBMJ (Clinical research ed.)1990

Analysis of serial measurements in medical research.

J N Matthews, D G Altman, M J Campbell, P Royston

2 registry-linked trialsAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ (Clinical research ed.), 1990. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 813 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
813citing 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.

NCT02879409 naactive not recruitingstarted 2016, after this paper: background citation

Does Glycated Hemoglobin Variability in Type 2 Diabetes Differ Depending on the Diabetes Treatment Threshold Used in the Qatari Population: Implication on Diabetes Complication Risk?

Ran2016Enrolled150Registered outcomes4Posted comparisons0ConditionsDiabetes Mellitus Type 2Armsdapagliflozin, Gliclazide, human insulin, liraglutide, Metformin
PMID 9742977PMID 19092145PMID 9886743PMID 9742976PMID 10938048PMID 12020338PMID 14694008PMID 15189396PMID 15921524PMID 16004665PMID 16801566PMID 17490424other papers from this trial
Open the trial in the graph
NCT05039554 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Randomized Trial of Acceptance and Commitment Therapy (ACT) and a Care Management App in Primary Care-based Buprenorphine Treatment

TypeinterventionalSponsorAlbert Einstein College of MedicineRan2023 to 2027Enrolled125ConditionsOpioid-use Disorder, Chronic PainArmsAcceptance and commitment therapy, Valera Smartphone Application, Treatment as Usual
3 · Its place in the literature

Who cites it

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

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

753 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

J N MatthewsDivision of Medical Statistics, University of Newcastle-upon-Tyne, The Medical School.
D G Altman
M J Campbell
P Royston

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In medical research data are often collected serially on subjects. The statistical analysis of such data is often inadequate in two ways: it may fail to settle clinically relevant questions and it may be statistically invalid. A commonly used method which compares groups at a series of time points, possibly with t tests, is flawed on both counts. There may, however, be a remedy, which takes the form of a two stage method that uses summary measures. In the first stage a suitable summary of the response in an individual, such as a rate of change or an area under a curve, is identified and calculated for each subject. In the second stage these summary measures are analysed by simple statistical techniques as though they were raw data. The method is statistically valid and likely to be more relevant to the study questions. If this method is borne in mind when the experiment is being planned it should promote studies with enough subjects and sufficient observations at critical times to enable useful conclusions to be drawn. Use of summary measures to analyse serial measurements, though not new, is potentially a useful and simple tool in medical research.

Indexed as

Data Interpretation, StatisticalResearch DesignAnimalsFemaleHumansMethodsPregnancyRats

Identifiers

PMID2106931
PMCPMC1662068

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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 Socratic graph.