Evidence map›Paper›PMID 36866353›Full record

ArticleTzu chi medical journal

Medical comorbidities as predictors of COVID-19 short-term mortality: A historical cohort study in Indonesia.

Rizaldy Taslim Pinzon, Vanessa Veronica

Abstract read
In one paragraph

Article in Tzu chi medical journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Rizaldy Taslim PinzonDepartment of Neurology, Faculty of Medicine, Duta Wacana Christian University, Yogyakarta, Indonesia.
Vanessa VeronicaDepartment of Neurology, Faculty of Medicine, Duta Wacana Christian University, Yogyakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: In this study, we aimed to evaluate the relation of comorbidities to coronavirus disease 2019 (COVID-19) short-term mortality. Materials and Methods: This was a single-center observational study with a historical cohort method at Bethesda Hospital Yogyakarta, Indonesia. COVID-19 diagnosis was made using reverse transcriptase-polymerase chain reaction on nasopharyngeal swabs. Patient data were obtained from digital medical records and used for Charlson Comorbidity Index assessments. Inhospital mortality was monitored throughout their hospital stay. Results: This study enrolled 333 patients. According to the total number of comorbidities in Charlson, 11.7% ( Conclusion: This study revealed multiple short-term mortality predictors in COVID-19 patients. The coexistence of cardiovascular disease, diabetes, and renal problem is a significant predictor of short-term mortality in COVID-19 patients.

Indexed as

ComorbidityCoronavirus disease 2019MortalityPredictorPrognosis

Identifiers

PMID36866353
PMCPMC9972924

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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.