Evidence map›Paper›PMID 34641641›Full record

SynthesisIranian biomedical journal2021

Serum Krebs von den Lungen-6 for Predicting the Severity of COVID-19 Lung Injury: A Systematic Review and Meta-Analysis.

Andro Pramana Witarto, Bendix Samarta Witarto, Achmad Januar Er Putra, Shidi Laras Pramudito, Alfian Nur Rosyid

Open access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Iranian biomedical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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  6. COVID19 biomarkers: What did we learn from systematic reviews?Frontiers in cellular and infection microbiology · 2022
    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

5 authors at 1 institution in 1 country.

Andro Pramana WitartoMedical Program, Faculty of Medicine, Universitas Airlangga, Indonesia.
Bendix Samarta WitartoMedical Program, Faculty of Medicine, Universitas Airlangga, Indonesia.
Achmad Januar Er PutraMedical Program, Faculty of Medicine, Universitas Airlangga, Indonesia.
Shidi Laras PramuditoMedical Program, Faculty of Medicine, Universitas Airlangga, Indonesia.
Alfian Nur RosyidDepartment of Pulmonology and Respiratory Medicine, Universitas Airlangga Hospital, Faculty of Medicine, Universitas Airlangga, Indonesia.
Airlangga University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung injury is common in coronavirus disease 2019 (COVID-19) patients. The severity of lung injury appears to be reflected in serum Krebs von den Lungen-6 (KL-6), a glycoprotein expressed on type II alveolar epithelium. This study aims to assess the role of serum KL-6 in reflecting the severity of lung injury in COVID-19 patients. Methods: A systematic search was conducted in Scopus, PubMed, Wiley Online Library, and ProQuest. Articles were screened based on several eligibility criteria and assessed for study quality using Newcastle-Ottawa Scale. Results: This systematic review included four studies involving a total of 151 adult COVID-19 patients. Pooled analysis revealed that serum KL-6 was significantly higher in severe patients (SMD = 1.16; 95% CI = 0.69–1.63) with moderately high pooled sensitivity (79%; 95% CI = 61–91%) and specificity (86%; 95% CI = 72–95%). Conclusion: High serum KL-6 may depict more severe lung injury in COVID-19 patients with moderately high sensitivity and specificity.

Indexed as

Severity of Illness IndexBiomarkersCOVID-19HumansLung InjuryMucin-1Sensitivity and SpecificityBiomarkersMUC1 protein, humanMucin-1BiomarkerCOVID-19Infectious diseaseKrebs von den Lungen-6Lung injury

Identifiers

PMID34641641
PMCPMC8744693
OpenAlexW3207602276

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.