Evidence map›Paper›PMID 37219941›Full record

SynthesisClinical science (London, England : 1979)2023

Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis.

Kaitlyn Hair, Emma Wilson, Charis Wong, Anthony Tsang, Malcolm Macleod, Alexandra Bannach-Brown

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical science (London, England : 1979), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

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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

6 authors.

Kaitlyn HairCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, U.K.
Emma WilsonCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, U.K.ORCID 0000-0002-8100-7508
Charis WongAnne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, U.K.
Anthony TsangKing's Technology Evaluation Centre, King's College London, U.K.
Malcolm MacleodCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, U.K.ORCID 0000-0001-9187-9839
Alexandra Bannach-BrownCharité Universitaetsmedizin Berlin, Berlin Institute of Health - QUEST Center, Berlin, Germany.ORCID 0000-0002-3161-1395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systematic reviews and meta-analysis are the cornerstones of evidence-based decision making and priority setting. However, traditional systematic reviews are time and labour intensive, limiting their feasibility to comprehensively evaluate the latest evidence in research-intensive areas. Recent developments in automation, machine learning and systematic review technologies have enabled efficiency gains. Building upon these advances, we developed Systematic Online Living Evidence Summaries (SOLES) to accelerate evidence synthesis. In this approach, we integrate automated processes to continuously gather, synthesise and summarise all existing evidence from a research domain, and report the resulting current curated content as interrogatable databases via interactive web applications. SOLES can benefit various stakeholders by (i) providing a systematic overview of current evidence to identify knowledge gaps, (ii) providing an accelerated starting point for a more detailed systematic review, and (iii) facilitating collaboration and coordination in evidence synthesis.

Indexed as

AutomationEvidence-Based MedicineData MiningMachine LearningSoftwareTechnologyautomationdata miningevidence-based medicinemachine learningsystematic review

Identifiers

PMID37219941
PMCPMC10220429

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.