Evidence map›Paper›PMID 35601226›Full record

ReviewHeliyon2022

Prognostic value of albumin-to-globulin ratio in COVID-19 patients: A systematic review and meta-analysis.

Juan R Ulloque-Badaracco, Melany D Mosquera-Rojas, Enrique A Hernandez-Bustamante, Esteban A Alarcón-Braga, Percy Herrera-Añazco, Vicente A Benites-Zapata

Abstract readReview
In one paragraph

Review in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. 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

6 authors.

Juan R Ulloque-BadaraccoEscuela de Medicina, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Melany D Mosquera-RojasEscuela de Medicina, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Enrique A Hernandez-BustamanteSociedad Cientifica de Estudiantes de Medicina de la Universidad Nacional de Trujillo, Trujillo, Peru.
Esteban A Alarcón-BragaEscuela de Medicina, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Percy Herrera-AñazcoUniversidad Privada San Juan Bautista, Lima, Peru.
Vicente A Benites-ZapataUnidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The albumin-to-globulin ratio (AGR) has been used to predict severity and mortality in infectious diseases. The aim of this study is to evaluate the prognostic value of the AGR in COVID-19 patients. Methods: A systematic review and meta-analysis were conducted. We included observational studies assessing the association between the AGR values upon hospital admission and severity or all-cause mortality in COVID-19 patients. In the meta-analyses we used random effect models. Risk of bias was assessed using the Newcastle-Ottawa Scale (NOS). The effect measures were expressed as mean difference (MD) and their 95% confidence intervals (CI). We performed Egger's test and funnel plots to assess the publication bias. Results: The included studies had a total of 11356 patients corresponding to 31 cohort studies. Severe COVID-19 patients had lower AGR values than non-severe COVID-19 patients (mean difference (MD), -0.27; 95% IC, -0.32 to -0.22; p < 0.001; I Conclusions: Low AGR values upon hospital admission were found in COVID-19 patients with a worse prognosis.

Indexed as

AlbuminCOVID-19GlobulinPrognosis

Identifiers

PMID35601226
PMCPMC9113764

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.