Evidence map›Paper›PMID 30618750›Full record

ArticleFrontiers in pharmacology2018

A Simple Clinical Pre-procedure Risk Model for Predicting Thrombocytopenia Associated With Periprocedural Use of Tirofiban in Patients Undergoing Percutaneous Coronary Intervention.

Yi-Hu Yi, Wen-Jun Yin, Zhi-Chun Gu, Wei-Jin Fang, Dai-Yang Li, Can Hu, Kun Liu, Rong-Rong Ma, Ling-Yun Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact, top 72% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Tirofiban-induced thrombocytopenia.Annals of medicine · 2023
    Review
  5. Article
  6. Article
  7. 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

9 authors at 4 institutions in 1 country.

Yi-Hu YiDepartment of Pharmacy, Third Xiangya Hospital, Central South University, Changsha, China.
Wen-Jun YinDepartment of Pharmacy, Third Xiangya Hospital, Central South University, Changsha, China.
Zhi-Chun GuDepartment of Pharmacy, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.
Wei-Jin FangDepartment of Pharmacy, Third Xiangya Hospital, Central South University, Changsha, China.
Dai-Yang LiDepartment of Pharmacy, Third Xiangya Hospital, Central South University, Changsha, China.
Can HuDepartment of Pharmacy, Third Xiangya Hospital, Central South University, Changsha, China.
Kun LiuDepartment of Pharmacy, Third Xiangya Hospital, Central South University, Changsha, China.
Rong-Rong MaCollege of Pharmacy, Xinjiang Medical University, Xinjiang, China.
Ling-Yun ZhouDepartment of Pharmacy, Third Xiangya Hospital, Central South University, Changsha, China.
Central South University · CNRenji Hospital · CNThird Xiangya Hospital · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

percutaneous coronary interventionprediction modelrisk scoresthrombocytopeniatirofiban

Identifiers

PMID30618750
PMCPMC6295459
OpenAlexW2905074737

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.