Evidence map›Paper›PMID 26126875›Full record

SynthesisBMC neurology2015

Longitudinal randomised controlled trials in rehabilitation post-stroke: a systematic review on the quality of reporting and use of baseline outcome values.

Odile Sauzet, Maren Kleine, Anke Menzel-Begemann, Anne-Kathrin Exner

Abstract readSystematic Review
In one paragraph

Synthesis in BMC neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

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

  1. Pooled it
  2. Article
  3. 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.

Odile SauzetAG Epidemiology & International Public Health, School of Public Health, Bielefeld University, PO. Box 10 01 31, 33501, Bielefeld, Germany. odile.sauzet@uni-bielefeld.de.
Maren KleineAG Epidemiology & International Public Health, School of Public Health, Bielefeld University, PO. Box 10 01 31, 33501, Bielefeld, Germany. Maren.kleine@uni-bielefeld.de.
Anke Menzel-BegemannFaculty of Nursing and Health, University of Applied Science, Münster, Leonardo Campus 8, 48149, Münster, Germany. menzel-begemann@fh-muenster.de.
Anne-Kathrin ExnerAG Epidemiology & International Public Health, School of Public Health, Bielefeld University, PO. Box 10 01 31, 33501, Bielefeld, Germany. anne-kathrin.exner@uni-bielefeld.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organisation stresses the need to collect high quality longitudinal data on rehabilitation and to improve the comparability between studies. This implies using all the information available and transparent reporting. We therefore investigated the quality of reported or planned randomised controlled trials on rehabilitation post-stroke with a repeated measure of physical functioning, provided recommendations on the presentation of results using regression parameters, and focused on the difficulties of adjustment for baseline outcome measures.

methodsWe performed a systematic review of the literature from 2011 to 2013 and collected information on the way data was analysed. Moreover we described various approaches to analyse the data using mixed models illustrated with real data.

resultsEighty-four eligible studies were identified of which 61% (51/84) failed to analyse the data longitudinally. Moreover, for 30% (25/83) the method for adjustment for baseline is not known or not existent. Using real data we were able to show how much difference in results an adjustment for baseline data can make. We showed how to provide interpretable intervention effects using regression coefficients while making use of all the information available in the data.

conclusionsOur review showed that improvements were needed in the analysis of longitudinal trials in rehabilitation post-stroke in order to maximise the use of collected data and improve comparability between studies. Reporting fully the method used (including baseline adjustment) and using methods like mixed models could easily achieve this.

Indexed as

Stroke RehabilitationHumansOutcome Assessment, Health CareRandomized Controlled Trials as Topic

Identifiers

PMID26126875
PMCPMC4488053

What OpenQuestion holds

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Registered trials

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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.