Evidence map›Paper›PMID 35685537›Full record

ArticleInternational journal of clinical practice2022

Prevalence and Prognostic Importance of High Fibrosis-4 Index in COVID-19 Patients.

Nurhan Demir, Bilgehan Yüzbasıoglu, Turan Calhan, Savas Ozturk

Open access · goldAbstract read
In one paragraph

Article in International journal of clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 34% 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Nurhan DemirDepartment of Gastroenterology, Haseki Training and Research Hospital, Istanbul, Turkey.ORCID https://orcid.org/0000-0003-0037-7775
Bilgehan YüzbasıogluDepartment of Gastroenterology, Haseki Training and Research Hospital, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-8750-0766
Turan CalhanDepartment of Gastroenterology, Haseki Training and Research Hospital, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-5811-6570
Savas OzturkDepartment of Internal Medicine, Division of Nephrology, Istanbul School of Medicine, Istanbul University, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-0961-3810
Haseki Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The fibrosis 4 (FIB-4) index was developed to predict advanced fibrosis in patients with liver disease. We aimed to evaluate the association of FIB-4 with risk factors for progression to critical illness in middle-aged patients hospitalized for coronavirus disease 2019 (COVID-19). Method: We included patients aged 35-65 years who were hospitalized following a positive RT-PCR SARS-Cov-2 test in a tertiary hospital. All data were obtained from the medical records of the patients during the first admission to the hospital. The FIB-4 index was calculated according to the equation (age (years) x AST (IU/L)/platelet count (10 Results: A total of 619 confirmed COVID-19 patients (mean age = 52 yrs.) were included in this study; 37 (6.0%) were admitted to the intensive care unit (ICU), of which 44% were intubated and eight (1.3%) patients died during follow-up. The results of patients with high FIB-4 scores were compared with those with low FIB-4 scores. In patients with high FIB-4 scores, male gender, and advanced age, decreased neutrophil, lymphocyte, thrombocyte, and albumin counts, elevated AST, LDH, CK, ferritin, CRP, and D-dimer, and low GFR were the high-risk factors for critical illness. Additionally, the number of patients referred to ICU with high FIB-4 who died had higher scores than from those with low scores. Conclusion: The FIB-4 index derived from baseline data obtained during hospitalisation can be used as a simple, inexpensive, and straightforward indicator to predict ICU requirement and/or death in middle-aged hospitalized COVID-19 patients.

Indexed as

COVID-19Critical IllnessFibrosisHumansMaleMiddle AgedPrevalencePrognosisSARS-CoV-2

Identifiers

PMID35685537
PMCPMC9159137
OpenAlexW4229076207

What OpenQuestion holds

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LicenceCC BY
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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.