Evidence map›Paper›PMID 35887963›Full record

ArticleJournal of clinical medicine2022

Comparison of Hospital Readmission and Mortality between COVID-19 and Pneumonia Patients.

Mesnad Alyabsi, Omar Aldibasi, Mohammad Bosaeed, Maha Alanazi, Anwar Alqarni, Bayan Albdah, Naif Khalaf Alharbi, Suliman Alghnam

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Mesnad AlyabsiPopulation Health Research Section, King Abdullah International Medical Research Center, P.O. Box 22490, Riyadh 11426, Saudi Arabia.ORCID 0000-0001-7763-9572
Omar AldibasiKing Saud Bin Abdulaziz University for Health Sciences, P.O. Box 22490, Riyadh 11426, Saudi Arabia.
Mohammad BosaeedKing Saud Bin Abdulaziz University for Health Sciences, P.O. Box 22490, Riyadh 11426, Saudi Arabia.
Maha AlanaziKing Saud Bin Abdulaziz University for Health Sciences, P.O. Box 22490, Riyadh 11426, Saudi Arabia.
Anwar AlqarniPopulation Health Research Section, King Abdullah International Medical Research Center, P.O. Box 22490, Riyadh 11426, Saudi Arabia.ORCID 0000-0002-5364-3048
Bayan AlbdahKing Saud Bin Abdulaziz University for Health Sciences, P.O. Box 22490, Riyadh 11426, Saudi Arabia.
Naif Khalaf AlharbiKing Saud Bin Abdulaziz University for Health Sciences, P.O. Box 22490, Riyadh 11426, Saudi Arabia.ORCID 0000-0002-6049-3383
Suliman AlghnamPopulation Health Research Section, King Abdullah International Medical Research Center, P.O. Box 22490, Riyadh 11426, Saudi Arabia.
King Saud bin Abdulaziz University for Health Sciences · SAPrincess Nourah bint Abdulrahman University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) survivors can have lasting signs and symptoms, including various organ damage, indicating that COVID-19 can be a chronic illness. The current study aims to compare the 30-day hospital readmission and death rate of patients admitted to the hospital with COVID-19 and pneumonia due to other causes. A retrospective cohort study was conducted using data from the Saudi National Guard Health Affairs (NGHA). Records of patients admitted with COVID-19 between 1 March 202 and 31 December 2020 (

Indexed as

COVID-19patient readmissionpneumoniaSaudi Arabia

Identifiers

PMID35887963
PMCPMC9318279
OpenAlexW4286005743

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.