Evidence map›Paper›PMID 30488749›Full record

ArticleThe Journal of international medical research2019

Awareness of and attitudes toward translational medicine among health personnel in hospitals in Shanghai, China.

Li Meina, Yu Wenya, Ye Feng, Ding Tao, Zhang Lulu

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

Article in The Journal of international medical research, 2019. 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 28% 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, 5 citations in OpenAlex.

  1. Review
  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

5 authors at 2 institutions in 1 country.

Li Meina1 Institute of Military Health Management, CPLA, Faculty of Health Service, Second Military Medical University, Shanghai, China.
Yu Wenya1 Institute of Military Health Management, CPLA, Faculty of Health Service, Second Military Medical University, Shanghai, China.
Ye Feng1 Institute of Military Health Management, CPLA, Faculty of Health Service, Second Military Medical University, Shanghai, China.
Ding Tao1 Institute of Military Health Management, CPLA, Faculty of Health Service, Second Military Medical University, Shanghai, China.
Zhang Lulu1 Institute of Military Health Management, CPLA, Faculty of Health Service, Second Military Medical University, Shanghai, China.
Second Military Medical University · CN458th Hospital PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study aim was to evaluate the knowledge and attitudes of hospital health personnel toward translational medicine.

methodsWe conducted a cross-sectional survey from July 2013 to September 2013 with a representative sample of 1690 health personnel from 13 large comprehensive or specialized hospitals in Shanghai, China.

resultsThe results showed that awareness of and attitudes toward translational medicine significantly differed by gender, age, highest level of education, profession, and professional rank. Health personnel showed a highly positive attitude toward translational medicine; however, their knowledge of translational medicine was low.

conclusionEffective measures are needed to improve health personnel's awareness of and attitudes toward translational medicine.

Indexed as

Attitude of Health PersonnelAwarenessHealth Knowledge, Attitudes, PracticeAdultAge FactorsChinaCross-Sectional StudiesFemaleHealth PersonnelHospitalsHumansMaleMiddle AgedSex FactorsSurveys and QuestionnairesTranslational Research, BiomedicalawarenessChinahealth personnelknowledgesurveyTranslational medicinetranslational research

Identifiers

PMID30488749
PMCPMC6384456
OpenAlexW2903027371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.