Evidence map›Paper›PMID 35615631›Full record

ArticleFrontiers in pediatrics2022

The Fragility Index of Randomized Controlled Trials for Preterm Neonates.

Huiyi Li, Zhenyu Liang, Qiong Meng, Xin Huang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Huiyi LiDepartment of Pediatrics, Guangdong Second Provincial General Hospital, Guangzhou, China.
Zhenyu LiangDepartment of Pediatrics, Guangdong Second Provincial General Hospital, Guangzhou, China.
Qiong MengDepartment of Pediatrics, Guangdong Second Provincial General Hospital, Guangzhou, China.
Xin HuangDepartment of Pediatrics, Guangdong Second Provincial General Hospital, Guangzhou, China.
Guangdong Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a metric to determine the robustness of trial results, the fragility index (FI) is the number indicating how many patients would be required to reverse the significant results. This study aimed to calculate the FI in randomized controlled trials (RCTs) involving premature. Methods: Trials were included if they had a 1:1 study design, reported statistically significant dichotomous outcomes, and had an explicitly stated sample size or power calculation. The FI was calculated for binary outcomes using Fisher's exact test, and the FIs of subgroups were compared. Spearman's correlation was applied to determine correlations between the FI and study characteristics. Results: Finally, 66 RCTs were included in the analyses. The median FI for these trials was 3.00 (interquartile range [IQR]: 1.00-5.00), with a median fragility quotient of 0.014 (IQR: 0.008-0.028). FI was ≤ 3 in 42 of these 66 RCTs (63.6%), and in 42.4% (28/66) of the studies, the number of patients lost to follow-up was greater than that of the FI. Significant differences were found in the FI among journals ( Conclusion: For RCTs in the premature population, a median of only three events was needed to change from a "non-event" to "event" to render a significant result non-significant, indicating that the significance may hinge on a small number of events.

Indexed as

fragility indexneonateprematurerandomized controlled trialrobustness

Identifiers

PMID35615631
PMCPMC9124941
OpenAlexW4229373281

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.