Evidence map›Paper›PMID 32399098›Full record

ArticleArchives of medical science : AMS2020

Difference in hematocrit and plasma albumin levels as an additional biomarker in the diagnosis of infectious disease.

Dong-Mei Dai, Dong Wang, Di Hu, Wen-Lei Wan, Yu Su, Ji-Lin Yang, Yu-Ping Wang, Fei Wang, Lei Yang, Hai-Mei Sun and 9 more

Open access · goldAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 19 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

19 authors at 6 institutions in 1 country.

Dong-Mei DaiDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Dong WangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Di HuDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Wen-Lei WanDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yu SuDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Ji-Lin YangDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yu-Ping WangDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Fei WangDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Lei YangDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Hai-Mei SunDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yuan-Yuan ChenDepartment of Intensive Medicine, The Affiliated Maternal and Child Health Hospital of Anhui Medical University, Hefei, Anhui, China.
Xiao FangDepartment of Intensive Medicine, Puer City People's Hospital, Puer, Yunnan, China.
Jing CaoDepartment of Emergency, The First People's Hospital of Yichang, Hubei, China.
Jie LuoDepartment of Emergency, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, China.
Kun TangDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Rui HuDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Hua-Nan DuanDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Mei LiDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Wang-Bin XuDepartment of Intensive Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Kunming Medical University · CNFirst Affiliated Hospital of Kunming Medical University · CNAnhui Medical University · CNChengdu University of Traditional Chinese Medicine · CNPuer University · CNYichang Central People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn clinical practice, it has been observed that patients with severe infections show changes to their hematocrit (HCT) and serum albumin (ALB) levels. This study aimed to evaluate whether the difference of HCT and ALB (HCT-ALB) levels can be used as an additional biomarker for fast diagnosis of severe infections. MATERIAL AND

methodsThis was a retrospective case-control study which included adult patients with severe infections, patients with non-infective conditions and healthy individuals. A total of 7,117 individuals were recruited in Yunnan Province, China, from January 2012 to January 2018, and were divided into three groups: 1,033 patients with severe infections (group 1); 1,081 patients with non-infective conditions (group 2); and 5,003 healthy individuals from the general population (group 3). The potential diagnostic threshold of HCT-ALB for severe infectious patients was determined by the receiver operating characteristic (ROC) curve analysis. Group 3 was used as the reference to draw the ROC curves of the HCT-ALB value in group 1 or group 2.

resultsHCT-ALB values in each group were significantly different. We found that the area under the ROC curve (AUC) of group 1 reached 0.87 (95% CI: 0.86-0.89), whereas the AUC of group 2 was 0.60 (95% CI: 0.58-0.62). To reach a higher specificity of 99.0% (95% CI: 98.8-99.3%, and with sensitivity of 37.5%, 95% CI: 34.5-40.5%), a HCT-ALB value of 10.25 was recommended as the standard for diagnosis of severe infection.

conclusionsThe HCT-ALB value was increased in patients with infectious disease. The measurement of the HCT-ALB value (> 10.25) might be useful in the fast diagnosis of infectious disease.

Indexed as

albumindiagnosishematocritinfection

Identifiers

PMID32399098
PMCPMC7212220
OpenAlexW2969846317

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.