Evidence map›Paper›PMID 36937844›Full record

ArticleFrontiers in pharmacology2023

A national survey of individualized pharmaceutical care practice in Chinese hospitals in 2019.

Mingyuan Cai, Liang Zhou, Daihui Gao, Dan Mei, Bo Zhang, Wei Zuo, Qing Yan

Open access · goldFull text read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. 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

7 authors at 3 institutions in 1 country.

Mingyuan CaiState Key Laboratory of Complex Severe and Rare Diseases, Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China.
Liang ZhouNational Institute of Hospital Administration, Beijing, China.
Daihui GaoState Key Laboratory of Complex Severe and Rare Diseases, Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China.
Dan MeiState Key Laboratory of Complex Severe and Rare Diseases, Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China.
Bo ZhangState Key Laboratory of Complex Severe and Rare Diseases, Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China.
Wei ZuoState Key Laboratory of Complex Severe and Rare Diseases, Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China.
Qing YanNational Institute of Hospital Administration, Beijing, China.
Peking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNNational Institute of Hospital Administration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Chinadevelopmentindividualized pharmaceutical carepharmacist-management clinicpharmacogenetic testingtherapeutic drug monitoring

Identifiers

PMID36937844
PMCPMC10018172
OpenAlexW4322772468

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read59
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.