Evidence map›Paper›PMID 37869626›Full record

ArticleData in brief2023

The SMART Safety: An empirical dataset for evidence synthesis of adverse events.

Shiqi Fan, Tianqi Yu, Xi Yang, Rui Zhang, Luis Furuya-Kanamori, Chang Xu

Abstract read
In one paragraph

Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Shiqi FanMOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Anhui, China.
Tianqi YuUniversité Paris Cité, Research Center of Epidemiology and Statistics (CRESS-U1153), INSERM, Paris, France.
Xi YangMOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Anhui, China.
Rui ZhangMOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Anhui, China.
Luis Furuya-KanamoriUQ Centre for Clinical Research, Faculty of Medicine, University of Queensland, Brisbane, Australia.
Chang XuMOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence synthesis serves an important role to promote informed decision-making in healthcare practice. A key issue of evidence synthesis is the approach to deal with rare adverse events and the methods to address bias of harm effects. Empirical data is essential to help methodologists and statisticians to solve the issues in evidence synthesis of adverse events. For this reason, we have established SMART Safety dataset, the largest empirical dataset of meta-analyses of adverse events. The dataset contains 151 systematic reviews with 629 meta-analyses on safety outcomes, which covers more than 2,300 randomized controlled trials and 362 harm outcomes, with 10,069 rows and 45 columns of trial level information. All information was double- or even quadra-checked and further verified by referring the original source (e.g., the full-text of the included randomized trials) to ensure high validity of the data.

Indexed as

Adverse eventsEvidence synthesisRandomized clinical trials

Identifiers

PMID37869626
PMCPMC10589771

What OpenQuestion holds

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LicenceCC BY
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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.