Evidence map›Paper›PMID 39659202›Full record

ArticleEpidemiology and infection2024

Development of a nomogram for high antibody titre of COVID-19 convalescent plasma.

Shichun Wang, Jie Yan, Min Song, Zhenrui Xue, Zerong Wang, Ronghua Diao, Qi Liu, Qianying Ruan, Chunyan Yao

Abstract read
In one paragraph

Article in Epidemiology and infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shichun WangDepartment of Blood Transfusion, First Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, P.R. China.
Jie YanDepartment of Blood Transfusion, First Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, P.R. China.
Min SongDepartment of Blood Transfusion, First Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, P.R. China.
Zhenrui XueDepartment of Blood Transfusion, First Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, P.R. China.
Zerong WangDepartment of Blood Transfusion, First Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, P.R. China.
Ronghua DiaoDepartment of Blood Transfusion, First Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, P.R. China.
Qi LiuDepartment of Blood Transfusion, First Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, P.R. China.
Qianying RuanDepartment of Blood Transfusion, First Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, P.R. China.
Chunyan YaoDepartment of Blood Transfusion, First Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, P.R. China.ORCID 0000-0002-5050-4579

Funding

The First Affiliated Hospital of Army Medical University 2023XGIIT05
6 · The paper itself

Abstract

This study aimed to develop a predictive tool for identifying individuals with high antibody titers crucial for recruiting COVID-19 convalescent plasma (CCP) donors and to assess the quality and storage changes of CCP. A convenience sample of 110 plasma donors was recruited, of which 75 met the study criteria. Using univariate logistic regression and random forest, 6 significant factors were identified, leading to the development of a nomogram. Receiver operating characteristic curves, calibration plots, and decision curve analysis (DCA) evaluated the nomogram's discrimination, calibration, and clinical utility. The nomogram indicated that females aged 18 to 26, blood type O, receiving 1 to 2 COVID-19 vaccine doses, experiencing 2 symptoms during infection, and donating plasma 41 to 150 days after symptom onset had higher likelihoods of high antibody titres. Nomogram's AUC was 0.853 with good calibration. DCA showed clinical benefit within 9% ~ 90% thresholds. CCP quality was qualified, with stable antibody titres over 6 months (

Indexed as

Antibodies, ViralBlood DonorsCOVID-19COVID-19 SerotherapyImmunization, PassiveNomogramsSARS-CoV-2AdolescentAdultFemaleHumansMaleMiddle AgedYoung AdultAntibodies, ViralCOVID-19 convalescent plasmanomogram plasma donationpredictive factorsSARS-CoV-2 IgG

Identifiers

PMID39659202
PMCPMC11696598

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.