Evidence map›Paper›PMID 38323265›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2024

Author Response.

Zahra Rahmatinejad, Benyamin Hoseini, Ali Pourmand, Hamidreza Reihani, Fatemeh Rahmatinejad, Saeid Eslami, Ameen Abu Hanna

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Zahra RahmatinejadDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0003-1168-7234
Benyamin HoseiniPharmaceutical Research Center, Pharmaceutical Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0002-0355-6181
Ali PourmandDepartment of Emergency Medicine, The George Washington University, School of Medicine and Health Sciences, Washington DC, United States.ORCID https://orcid.org/0000-0002-8440-8454
Hamidreza ReihaniDepartment of Emergency Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0003-0617-9374
Fatemeh RahmatinejadDepartment of Health Information Technology, Faculty of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0002-6565-9493
Saeid EslamiDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0003-3755-1212
Ameen Abu HannaDepartment of Medical Informatics, Amsterdam UMC-Location AMC, University of Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-4324-7954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Emergency departmentMortality predictionPerformance measuresScoring systems

Identifiers

PMID38323265
PMCPMC10839927

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.