Evidence map›Paper›PMID 36828602›Full record

ArticleThe Lancet. Digital health2023

US COVID-19 clinical trial leadership gender disparities.

Neil K R Sehgal, John S Brownstein, Maimuna S Majumder, Gaurav Tuli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Lancet. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Observational
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.

Neil K R SehgalComputational Epidemiology Lab, Boston Children's Hospital, Boston, MA, USA; Institute for Applied Computational Science, Harvard University, Cambridge, MA, USA.
John S BrownsteinComputational Epidemiology Lab, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Harvard University, Cambridge, MA, USA.
Maimuna S MajumderComputational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Harvard University, Cambridge, MA, USA.
Gaurav TuliComputational Epidemiology Lab, Boston Children's Hospital, Boston, MA, USA. Electronic address: gaurav.tuli@childrens.harvard.edu.

Funding

Digital data streams and machine learning for real-time modeling of vaccine-preventable infectious diseasesR35GM146974 · NIGMS · BOSTON CHILDREN'S HOSPITAL · PI Maimuna Shahnaz Majumder · 2022 to 2026
$2.2M
NIGMS NIH HHS R35 GM146974
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19LeadershipResearch PersonnelFemaleHumansMaleSex Distribution

Identifiers

PMID36828602
PMCPMC9946457

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.