Evidence map›Paper›PMID 35720081›Full record

ArticleFrontiers in neurology2022

15-Hydroxyprostaglandin Dehydrogenase Is a Predictor of Stroke-Associated Pneumonia.

Yunfei Xu, Haoduo Qiao, Shun Yang, Lin Zhou, Yao Zhao, Qing Xu, Shuying Miao, Dun Yuan, Jie Zhao, Ying Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

10 authors at 2 institutions in 1 country.

Yunfei XuDepartment of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
Haoduo QiaoDepartment of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
Shun YangDepartment of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
Lin ZhouDepartment of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
Yao ZhaoDepartment of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
Qing XuDepartment of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
Shuying MiaoChina-Africa Research Center of Infectious Diseases, Central South University, Changsha, China.
Dun YuanDepartment of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
Jie ZhaoDepartment of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
Ying LiuDepartment of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: Stroke is a serious fatal and disabling disease. Stroke-associated pneumonia (SAP) is the most common complication of stroke, which may further aggravate the stroke. The prevention and early prediction of SAP is a key clinical strategy. 15-hydroxyprostaglandin dehydrogenase (15-PGDH) is involved in pneumonia, while its relationship with SAP has yet to be determined. Therefore, we investigated the predictive value of 15-PGDH for SAP and visualized their relationship. Methods: Stroke patients were recruited and divided into SAP group and Non-SAP group. Baseline demographic and clinical data were obtained from the medical record system, blood samples were collected to detect relevant variables and 15-PGDH levels. Patient characteristics were compared with a t-test. Binary logistic regression analysis was performed to determine the predictive value of 15-PGDH for SAP. Restricted cubic splines (RCS) were performed to visualize the relationship between 15-PGDH and SAP risk. Finally, the SAP patient characteristics between the severe group and mild group were compared. Results: 50 patients were enrolled and divided into SAP group ( Conclusions: In stroke patients, serum 15-PGDH is a valuable biomarker for predicting SAP. There is an L-shaped relationship between the level of 15-PGDH and the risk of SAP.

Indexed as

15-PGDHPGE2pneumoniapredictorstroke

Identifiers

PMID35720081
PMCPMC9202497
OpenAlexW4281628084

What OpenQuestion holds

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LicenceCC BY
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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.