Evidence map›Paper›PMID 35398190›Full record

ArticleJournal of clinical epidemiology2022

High-cited favorable studies for COVID-19 treatments ineffective in large trials.

John P A Ioannidis

Abstract read
In one paragraph

Article in Journal of clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

3 citing papers in PubMed.

  1. Slow data public health.European journal of epidemiology · 2023
    Article
  2. Review
  3. Editors' Choice: August 2022.Journal of clinical epidemiology · 2022
    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

1 author.

John P A IoannidisDepartments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA. Electronic address: jioannid@stanford.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate for coronavirus disease 2019 treatments without benefits in subsequent large randomized controlled trials (RCTs) how many of their most-cited clinical studies had declared favorable results. STUDY DESIGN AND

settingScopus searches (December 23, 2021) identified articles on lopinavir-ritonavir, hydroxychloroquine, azithromycin, remdesivir, convalescent plasma, colchicine, or interferon (index interventions) that represented clinical trials and had >150 citations. Their conclusions were correlated with study design features. The 10 most recent citations for the most-cited article on each index intervention were examined on whether they were critical to the highly cited study. Altmetric scores were also obtained.

resultsForty eligible articles of clinical studies had received >150 citations. Twenty of forty (50%) had favorable conclusions and four were equivocal. Highly cited articles with favorable conclusions were rarely RCTs (3/20), although those without favorable conclusions were mostly RCTs (15/20, P = 0.0003). Only one RCT with favorable conclusions had >160 patients. Citation counts correlated strongly with Altmetric scores, especially news items. Only nine (15%) of 60 recent citations to the most highly cited studies with favorable or equivocal conclusions were critical.

conclusionMany clinical studies with favorable conclusions for largely ineffective coronavirus disease 2019 treatments are uncritically heavily cited and disseminated. Early observational studies and small randomized trials may cause spurious claims of effectiveness that get perpetuated.

Indexed as

COVID-19 Drug TreatmentAzithromycinColchicineCOVID-19 SerotherapyHumansHydroxychloroquineInterferonsLopinavirRitonavirAzithromycinColchicineHydroxychloroquineInterferonsLopinavirRitonavirAltmetricBiascitationsCOVID-19Nonrandomized studiesRandomized controlled trials

Identifiers

PMID35398190
PMCPMC8986133

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.