Evidence map›Paper›PMID 34912476›Full record

ArticleDisease markers2021

Septicemic Melioidosis Detection Using Support Vector Machine with Five Immune Cell Types.

Ke Xu, Fang Lian, Yunfan Quan, Jun Liu, Li Yin, Xuexia Li, Shen Tian, Hua Pei, Qianfeng Xia

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2021. 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
0.2field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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 at 1 institution in 1 country.

Ke XuKey Laboratory of Tropical Translational Medicine of Ministry of Education and School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, Hainan, China.ORCID https://orcid.org/0000-0002-4423-1703
Fang LianDepartment of Clinical Laboratory, The Second Affiliated Hospital, Hainan Medical University, Haikou, China.
Yunfan QuanKey Laboratory of Tropical Translational Medicine of Ministry of Education and School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, Hainan, China.
Jun LiuSchool of Basic Medicine and Life Sciences, Hainan Medical University, Haikou, Hainan, China.
Li YinKey Laboratory of Tropical Translational Medicine of Ministry of Education and School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, Hainan, China.
Xuexia LiKey Laboratory of Tropical Translational Medicine of Ministry of Education and School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, Hainan, China.
Shen TianKey Laboratory of Tropical Translational Medicine of Ministry of Education and School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, Hainan, China.
Hua PeiDepartment of Clinical Laboratory, The Second Affiliated Hospital, Hainan Medical University, Haikou, China.ORCID https://orcid.org/0000-0003-1925-2323
Qianfeng XiaKey Laboratory of Tropical Translational Medicine of Ministry of Education and School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, Hainan, China.ORCID https://orcid.org/0000-0001-5521-5664
Hainan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melioidosis, caused by

Indexed as

Support Vector MachineBiomarkersCase-Control StudiesHumansMelioidosisSensitivity and SpecificitySepsisBiomarkers

Identifiers

PMID34912476
PMCPMC8668356
OpenAlexW4200075991

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.