Evidence map›Paper›PMID 32974234›Full record

ArticleMedical journal of the Islamic Republic of Iran2020

Design and development of a web-based registry for Coronavirus (COVID-19) disease.

Hadi Kazemi-Arpanahi, Khadijeh Moulaei, Mostafa Shanbehzadeh

Abstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Comparing machine learning algorithms for predicting COVID-19 mortality.BMC medical informatics and decision making · 2022
    Article
  11. A contemporary review on the important role ofInformatics in medicine unlocked · 2022
    Review
  12. Predicting Mortality of COVID-19 Patients based on Data Mining Techniques.Journal of biomedical physics & engineering · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Development of minimal basic data set to report COVID-19.Medical journal of the Islamic Republic of Iran · 2020
    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

3 authors.

Hadi Kazemi-ArpanahiDepartment of Health Information Technology, Abadan Faculty of Medical Sciences, Abadan, Iran.
Khadijeh MoulaeiDepartment of Health Information Management, School of Health Management and Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Mostafa ShanbehzadehDepartment of Health Information Technology, School of Paramedical, Ilam University of Medical Sciences, Ilam, Iran.ORCID https://orcid.org/0000-0002-3419-1947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CoronavirusCOVID-19MDSMinimum data setRegistry system

Identifiers

PMID32974234
PMCPMC7500427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.