Evidence map›Paper›PMID 35365705›Full record

ArticleScientific reports2022

Longitudinal relationship of liver injury with inflammation biomarkers in COVID-19 hospitalized patients using a joint modeling approach.

Carla Diaz-Louzao, Lucia Barrera-Lopez, Maria Lopez-Rodriguez, Clara Casar, Nestor Vazquez-Agra, Hadrian Pernas-Pardavila, Ana Marques-Afonso, Martin Vidal-Vazquez, Jonathan G Montoya, Ariadna H Andrade and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Liver damage profile in COVID-19 pregnant patients.Cell communication and signaling : CCS · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. 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

17 authors at 3 institutions in 1 country.

Carla Diaz-LouzaoDepartment of Psychiatry, Radiology, Public Health, Nursing and Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.
Lucia Barrera-LopezHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Maria Lopez-RodriguezHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Clara CasarHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Nestor Vazquez-AgraHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Hadrian Pernas-PardavilaHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Ana Marques-AfonsoHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Martin Vidal-VazquezHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Jonathan G MontoyaHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Ariadna H AndradeHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Ivan Fernandez-CastroHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Pablo VarelaHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Arturo Gonzalez-QuintelaHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Esteban OteroHepatology Unit, Department of Internal Medicine, Hospital Clínico Universitario de Santiago de Compostela, Travesia da Choupana S/N, 15705, Santiago de Compostela, Spain.
Francisco GudeEpidemiology and Research Unit, Hospital Clinico Universitario de Santiago, Instituto de Investigaciones Sanitarias (IDIS) Santiago de Compostela, Santiago de Compostela, Spain.
Carmen Cadarso-SuarezCITMAga, Santiago de Compostela, Spain.
Santiago TomeDepartment of Psychiatry, Radiology, Public Health, Nursing and Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain. santi.tome@usc.es.
Complejo Hospitalario Universitario de Santiago · ESUniversidade de Santiago de Compostela · ESInstituto de Investigación Sanitaria de Santiago · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanisms underlying liver disease in patients with COVID-19 are not entirely known. The aim is to investigate, by means of novel statistical techniques, the changes over time in the relationship between inflammation markers and liver damage markers in relation to survival in COVID-19. The study included 221 consecutive patients admitted to the hospital during the first COVID-19 wave in Spain. Generalized additive mixed models were used to investigate the influence of time and inflammation markers on liver damage markers in relation to survival. Joint modeling regression was used to evaluate the temporal correlations between inflammation markers (serum C-reactive protein [CRP], interleukin-6, plasma D-dimer, and blood lymphocyte count) and liver damage markers, after adjusting for age, sex, and therapy. The patients who died showed a significant elevation in serum aspartate transaminase (AST) and alkaline phosphatase levels over time. Conversely, a decrease in serum AST levels was observed in the survivors, who showed a negative correlation between inflammation markers and liver damage markers (CRP with serum AST, alanine transaminase [ALT], and gamma-glutamyl transferase [GGT]; and D-dimer with AST and ALT) after a week of hospitalization. Conversely, most correlations were positive in the patients who died, except lymphocyte count, which was negatively correlated with AST, GGT, and alkaline phosphatase. These correlations were attenuated with age. The patients who died during COVID-19 infection displayed a significant elevation of liver damage markers, which is correlated with inflammation markers over time. These results are consistent with the role of systemic inflammation in liver damage during COVID-19.

Indexed as

COVID-19Liver DiseasesAspartate AminotransferasesBiomarkersHumansInflammationLiverAspartate AminotransferasesBiomarkers

Identifiers

PMID35365705
PMCPMC8972986
OpenAlexW4226144414

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.