Evidence map›Paper›PMID 34062621›Full record

ArticleJournal of clinical laboratory analysis2021

Leukocyte cell population data from the blood cell analyzer as a predictive marker for severity of acute pancreatitis.

Yihui Wang, Zhihong Xu, Yuhua Zhou, Mengqi Xie, Xing Qi, Zhiwei Xu, Qi Cai, Huiqiu Sheng, Erzhen Chen, Bing Zhao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 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

11 authors at 1 institution in 1 country.

Yihui WangDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-5665-5557
Zhihong XuDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuhua ZhouDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengqi XieDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xing QiDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhiwei XuDepartment of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qi CaiDepartment of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huiqiu ShengDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Erzhen ChenDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bing ZhaoDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Enqiang MaoDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Jiao Tong University · CN

Funding

National Natural Science Foundation of China 81600501National Natural Science Foundation Youth Project of China 81601665
6 · The paper itself

Abstract

backgroundThe prediction for severe acute pancreatitis (SAP) is the key to give timely targeted treatment. Leukocyte cell population data (CPD) have been widely applied in early prediction and diagnosis of many diseases, but their predictive ability for SAP remains unexplored. We aim to testify whether CPD could be an indicator of AP severity in the early stage of the disease.

methodsThe prospective observational study was conducted in the emergency department ward of a territory hospital in Shanghai. The enrolled AP patients should meet 2012 Atlanta guideline.

resultsTotally, 103 AP patients and 62 healthy controls were enrolled and patients were classified into mild AP (n = 30), moderate SAP (n = 42), and SAP (n = 31). Forty-two CPD parameters were examined in first 3 days of admission. Four CPD parameters were highest in SAP on admission and were constantly different among 3 groups during first 3 days of hospital stay. Eighteen CPD parameters were found correlated with the occurrence of SAP. Stepwise multivariate logistic regression analysis identified a scoring system of 4 parameters (SD_LALS_NE, MN_LALS_LY, SD_LMALS_MO, and SD_AL2_MO) with a sensitivity of 96.8%, specificity of 65.3%, and AUC of 0.87 for diagnostic accuracy on early identification of SAP. AUC of this scoring system was comparable with MCTSI, SOFA, APACHE II, MMS, BISAP, or biomarkers as CRP, PCT, and WBC in prediction of SAP and ICU transfer or death.

conclusionsSeveral leukocyte CPD parameters have been identified different among MAP, MSAP, and SAP. They might be ultimately incorporated into a predictive system marker for severity of AP.

Indexed as

Severity of Illness IndexAdultBiomarkersCohort StudiesFemaleHematologic TestsHospitalizationHumansIntensive Care UnitsLeukocytesMaleMiddle AgedPancreatitisROC CurveBiomarkersacute pancreatitiscell population datapredictionscoring systemseverity

Identifiers

PMID34062621
PMCPMC8274994
OpenAlexW3165812220

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.