Evidence map›Paper›PMID 35401970›Full record

ArticleF1000Research2020

The Benefits and Risks of Iron interventionS in Children (BRISC) trial: Statistical analysis plan.

Sabine Braat, Leila Larson, Julie A Simpson, Mohammed Imrul Hasan, Jena Derakhshani Hamadani, Sheikh Jamal Hossain, Shamima Shiraji, Mohammad Saiful Alam Bhuiyan, Beverley-Ann Biggs, Sant-Rayn Pasricha

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in F1000Research, 2020. 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
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. 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

10 authors at 3 institutions in 2 countries.

Sabine BraatCentre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0003-1997-3999
Leila LarsonDepartment of Medicine and Victorian Infectious Diseases Service (Royal Melbourne Hospital), Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Julie A SimpsonCentre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, Australia.
Mohammed Imrul HasanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Jena Derakhshani HamadaniMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Sheikh Jamal HossainMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Shamima ShirajiMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Mohammad Saiful Alam BhuiyanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Beverley-Ann BiggsDepartment of Medicine and Victorian Infectious Diseases Service (Royal Melbourne Hospital), Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Sant-Rayn PasrichaPopulation Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
International Centre for Diarrhoeal Disease Research · BDThe Royal Melbourne Hospital · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

anaemiaBangladeshBayley Scaleschild developmentcognitionIronrandomised control trialstatistical analysis plan

Identifiers

PMID35401970
PMCPMC8984212
OpenAlexW3028008978

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.