Evidence map›Paper›PMID 35308417›Full record

ArticleHealth science reports2022

Hyponatremia in COVID-19 patients: Experience from Bangladesh.

Md Khairul Islam, Pratyay Hasan, Md Mohiuddin Sharif, Tazdin Delwar Khan, Rifat Hossain Ratul, Fahima Sharmin Hossain, Md Maruf Ahmed Molla

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In one paragraph

Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Md Khairul IslamDepartment of Medicine Dhaka Medical College Hospital Dhaka Bangladesh.
Pratyay HasanDepartment of Medicine Dhaka Medical College Hospital Dhaka Bangladesh.
Md Mohiuddin SharifDepartment of Medicine Dhaka Medical College Hospital Dhaka Bangladesh.
Tazdin Delwar KhanDepartment of Medicine Dhaka Medical College Hospital Dhaka Bangladesh.
Rifat Hossain RatulDepartment of Medicine Dhaka Medical College Hospital Dhaka Bangladesh.
Fahima Sharmin HossainDepartment of Medicine National Institute of Mental Health Dhaka Bangladesh.
Md Maruf Ahmed MollaDepartment of Virology National Institute of Laboratory Medicine and Referral Center Dhaka Bangladesh.ORCID 0000-0002-5062-9144
Dhaka Medical College and Hospital · BDNational Institute of Cardiovascular Diseases · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of the study was to measure the prevalence of hyponatremia and its association with clinical and laboratory characteristics of hospitalized coronavirus disease 2019 (COVID-19) patients at Dhaka Medical College and Hospital (DMCH). Methods: This retrospective study was conducted in COVID-19 dedicated wards at DMCH from June to August 2020. Demographic, clinical, and laboratory data were collected from patient treatment sheets. Two groups of COVID-19 patients were retrospectively screened on the basis of plasma sodium level at admission: hyponatremic (sodium < 135 mM, Results: A total of 132 patients were included in the study, with a mean age of 51.41 (±14.13) years. Hyponatremia was found in 84 patients (63.6%) and the remaining 48 patients (36.4%) had normal plasma Na Conclusions: The authors suggest that patients' serum electrolytes be measured during initial hospital admission and then monitored throughout the hospital stay to predict the probability for referral for invasive ventilation and for better management.

Indexed as

BangladeshCOVID‐19electrolyte imbalancesodium

Identifiers

PMID35308417
PMCPMC8919453
OpenAlexW4220681736

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.