Evidence map›Paper›PMID 33152003›Full record

ArticlePloS one2020

Serum electrolytes disorder and its associated factors among adults admitted with metabolic syndrome in Jimma Medical Center, South West Ethiopia: Facility based crossectional study.

Abebe Timerga, Endryas Kelta, Chala Kenenisa, Belay Zawdie, Aklilu Habte, Kassahun Haile

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
1.1field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
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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

6 authors at 2 institutions in 1 country.

Abebe TimergaDepartment of Biomedical Science, Wolkite University, Biochemistry unit, College of Medicine and Health Sciences, Wolkite, Southern Ethiopia.ORCID 0000-0002-2606-2918
Endryas KeltaDepartment of Biomedical Science, Institute of Health, Jimma University, Biochemistry unit, Faculty of Medical Sciences, Jimma, South West Ethiopia.
Chala KenenisaDepartment of Biomedical Science, Institute of Health, Jimma University, Biochemistry unit, Faculty of Medical Sciences, Jimma, South West Ethiopia.
Belay ZawdieDepartment of Biomedical Science, Institute of Health, Jimma University, Biochemistry unit, Faculty of Medical Sciences, Jimma, South West Ethiopia.
Aklilu HabteReproductive Health Unit, School of Public Health, College of Medicine and Health Sciences, Wachamo University, Hosanna, Southern Ethiopia.
Kassahun HaileDepartment of Medical laboratory Science, College of Medicine and Health Science Wolkite University, Hematology unit, Wolkite, Southern Ethiopia.
Jimma University · ETWolkite University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectrolytes play an important role in controlling acid base balance, blood clotting, and body fluid and muscle contractions. Serum electrolytes concentrations are most commonly used tests for assessment of a patient's clinical conditions, and are associated with morbidity and mortality. Any derangements from the normal range of electrolyte levels in the body is described as electrolyte disorders. The Current study was aimed to determine serum electrolytes disorder and its associated factors among adults admitted with metabolic syndrome at Jimma medical center, South West Ethiopia.

methodsA Facility based cross sectional study was conducted on 256 patients admitted medical center with metabolic syndrome during the study period. The World Health Organization stepwise assessment tools and patients' medical records were used to collect information on factors associated with electrolyte disorders. Bivariable and Multivariable logistic regression analyses were performed to identify factors associated with electrolyte disorder at the level of significance of p value <0.25 with 95% confidence interval of crude odds ratio and <0.05 with 95% confidence interval of adjusted odds ratio respectively.

resultsThe overall prevalence of electrolyte disorders was 44.1% (95%CI:40.99-47.20) with hyponatremia 42.9% (95%CI:39.81-45.99) as the leading electrolyte disorder followed by hypokalemia 20.7% (95%CI:18.17-23.23), hypochloremia 17.6% (95%CI:15.22-19.98) and hypocalcemia 9.4% (95%CI:7.57-11.22). Non-formal education [AOR: 6.81; 95%CI:(3.48,17.01)] alcohol consumption [AOR: 4.28; 95%CI:(1.71,10.70)], diuretics, diuretics [AOR: 4.39; 95%CI:(2.10,9.15)], antidiabetics [AOR: 5.18; 95%CI:(2.44,11.00)], and body mass index [AOR: 11.51; 95%CI:(3.50,18.81)] were identified as independent factors for electrolyte disturbance in multivariable logistic regression.

conclusionThe finding of the study revealed that nearly half the study participants with metabolic syndromes had electrolyte disorder. Educational status, habit of alcohol consumption, diuretics, antidiabetics, and having higher body mass index were the independent factors associated with electrolyte disorders. Determination of Serum electrolytes, proper administration of diuretic and health education on behavioral factors were the necessary measures that should be done by concerned bodies to reduce electrolytes disorder.

Indexed as

Health FacilitiesHospitalizationAdultAgedBehaviorComorbidityCross-Sectional StudiesElectrolytesEthiopiaFemaleHumansLogistic ModelsMaleMetabolic SyndromeMiddle AgedMultivariate AnalysisElectrolytes

Identifiers

PMID33152003
PMCPMC7644006
OpenAlexW3097536072

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.