Evidence map›Paper›PMID 34550587›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Living Systematic Reviews.

Mark Simmonds, Julian H Elliott, Anneliese Synnot, Tari Turner

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 5 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

24 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. A living systematic review, meta-analysis, and open data resource of trials of MDMA-assisted therapy for PTSD.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  12. How the National Library of Medicine should evolve in an era of artificial intelligence.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  13. Collaborative large language models for automated data extraction in living systematic reviews.Journal of the American Medical Informatics Association : JAMIA · 2025
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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.

Mark SimmondsCentre for Reviews and Dissemination, University of York, York, UK. Mark.simmonds@york.ac.uk.
Julian H ElliottCochrane Australia, Monash University, Melbourne, VIC, Australia.
Anneliese SynnotCochrane Australia, Monash University, Melbourne, VIC, Australia.
Tari TurnerCochrane Australia, Monash University, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systematic reviews are difficult to keep up to date, but failure to do so leads to poor review currency and accuracy. "Living systematic review" (LSR) is an approach that aims to continually update a review, incorporating relevant new evidence as it becomes available. LSRs may be particularly important in fields where research evidence is emerging rapidly, current evidence is uncertain, and new research may change policy or practice decisions.This chapter describes the concept and processes of living systematic reviews. It describes the general principles of LSRs, when they might be of particular value, and how their procedures differ from conventional systematic reviews. The chapter focuses particularly on two methods of sequential meta-analysis that may be particularly useful for LSRs: Trial Sequential Analysis and Sequential Meta-Analysis, which both control for Type I error, Type II error (failing to detect a genuine effect) and take account of heterogeneity.

Indexed as

Systematic Reviews as TopicHumansMeta-Analysis as TopicLiving systematic reviewSequential meta-analysisSystematic reviewTrial sequential analysis

Identifiers

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.