Evidence map›Paper›PMID 33842733›Full record

ArticleObesity medicine2021

Prognostic value of fasting hyperglycemia in patients with COVID-19 - Diagnostic test accuracy meta-analysis.

Dewi Ratih Handayani, Henny Juliastuti, Eka Noneng Nawangsih, Yudith Yunia Kusmala, Iis Inayati Rakhmat, Arief Wibowo, Raymond Pranata

Abstract read
In one paragraph

Article in Obesity medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Observational
  5. Review
  6. Review
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.

Dewi Ratih HandayaniDepartment of Biochemistry, Faculty of Medicine, Universitas Jenderal Achmad Yani, Cimahi, Indonesia.
Henny JuliastutiDepartment of Biochemistry, Faculty of Medicine, Universitas Jenderal Achmad Yani, Cimahi, Indonesia.
Eka Noneng NawangsihDepartment of Microbiology, Faculty of Medicine, Universitas Jenderal Achmad Yani, Cimahi, Indonesia.
Yudith Yunia KusmalaDepartment of Internal Medicine, Faculty of Medicine, Universitas Jenderal Achmad Yani, Cimahi, Indonesia.
Iis Inayati RakhmatDepartment of Biochemistry, Faculty of Medicine, Universitas Jenderal Achmad Yani, Cimahi, Indonesia.
Arief WibowoDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Padjadjaran, Rumah Sakit Umum Pusat Hasan Sadikin, Bandung, Indonesia.
Raymond PranataDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Padjadjaran, Rumah Sakit Umum Pusat Hasan Sadikin, Bandung, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis meta-analysis aimed to assess the prognostic value of fasting hyperglycemia in patients with COVID-19.

methodsA systematic literature search on PubMed, Embase, and Scopus were performed up until February 18, 2021. Fasting hyperglycemia was defined as fasting plasma glucose level above the reference value. The outcome of interest was poor outcome, which was a composite of mortality and severe COVID-19. The effect estimate was in odds ratio (OR).

resultsThere were 9045 patients from 12 studies included in this systematic review and meta-analysis. The prevalence of fasting hyperglycemia was 29%. The incidence of poor outcome was 15%. Fasting hyperglycemia was associated with poor outcome in COVID-19 (OR 4.72 [3.32, 6.72], p < 0.001; I

conclusionFasting hyperglycemia was associated with mortality in COVID-19 patients, with or without diabetes. PROSPERO: CRD42021237997.

Indexed as

CoronavirusGlucoseMortalitySARS-CoV-2Severity

Identifiers

PMID33842733
PMCPMC8019489

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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.