Evidence map›Paper›PMID 33433006›Full record

ArticleJournal of medical virology2021

Prognostic roles of KL-6 in disease severity and lung injury in COVID-19 patients: A longitudinal retrospective analysis.

Kai Deng, Qinghong Fan, Yanhong Yang, Xizi Deng, Ruiying He, Yizhou Tan, Yun Lan, Xilong Deng, Yuejun Pan, Yaping Wang and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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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

23 authors at 1 institution in 1 country.

Kai DengInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Qinghong FanInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yanhong YangInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xizi DengInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Ruiying HeInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yizhou TanInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yun LanInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xilong DengInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yuejun PanInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yaping WangInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yujuan GuanInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Huiyuan LiuInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Fengjuan ChenInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaoneng MoInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xinghua TanInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Chun LuoInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xueliang WenInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Ying LiuInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Jinxin LiuInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Lieguang ZhangInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaoping TangInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Fengyu HuInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Feng LiInfectious Diseases Institute, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0002-7690-8870
Guangzhou Eighth People's Hospital · CN

Funding

Guangdong Provincial Department of Science and Technology Fund 2020B1111330002
6 · The paper itself

Abstract

To investigate the dynamic changes of Krebs von den Lungen-6 (KL-6) among patients with coronavirus disease 2019 (COVID-19) and the role of KL-6 as a noninvasive biomarker for predicting long-term lung injury, the clinical information and laboratory tests of 166 COVID-19 patients were collected, and a correlation analysis between KL-6 and other parameters was conducted. There were 17 (10.2%, 17/166) severe/critical and 149 (89.8%, 149/166) mild COVID-19 patients in our cohort. Serum KL-6 was significantly higher in severe/critical COVID-19 patients than in mild patients (median 898.0 vs. 451.2 U/ml, p < .001). KL-6 was next confirmed to be a sensitive and specific biomarker for distinguishing mild and severe/critical patients and correlate to computed tomography lung lesions areas. Serum KL-6 concentration during the follow-up period (>100 days postonset) was well correlated to those concentrations within 10 days postonset (Pearson r = .867, p < .001), indicating the prognostic value of KL-6 levels in predicting lung injury after discharge. Finally, elevated KL-6 was found to be significantly correlated to coagulation disorders, and T cells subsets dysfunctions. In summary, serum KL-6 is a biomarker for assessing COVID-19 severity and predicting the prognosis of lung injury of discharged patients.

Indexed as

AdultAgedBiomarkersCOVID-19FemaleHumansLungLung InjuryMaleMiddle AgedMucin-1PrognosisRetrospective StudiesSARS-CoV-2Severity of Illness IndexTomography, X-Ray ComputedBiomarkersMUC1 protein, humanMucin-1COVID-19KL-6lung injuryprognosis

Identifiers

PMID33433006
PMCPMC8013517
OpenAlexW3120738988

What OpenQuestion holds

Textmetadata
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.