Evidence map›Paper›PMID 28280745›Full record

ArticleJournal of diabetes research2017

Medication Adherence Mediates the Association between Type D Personality and High HbA1c Level in Chinese Patients with Type 2 Diabetes Mellitus: A Six-Month Follow-Up Study.

Xuemei Li, Min Gao, Shengfa Zhang, Huiwen Xu, Huixuan Zhou, Xiaohua Wang, Zhiyong Qu, Jing Guo, Weijun Zhang, Donghua Tian

Abstract read
In one paragraph

Article in Journal of diabetes research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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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.

Xuemei LiSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, Beijing 100875, China; Clinics of Cadre, Department of Outpatient, General Hospital of the People's Liberation Army (301 Hospital), Beijing 100853, China.
Min GaoSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, Beijing 100875, China.
Shengfa ZhangSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, Beijing 100875, China.
Huiwen XuDepartment of Public Health Sciences, University of Rochester School of Medicine & Dentistry, Rochester, NY 14642, USA.
Huixuan ZhouSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, Beijing 100875, China.
Xiaohua WangSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, Beijing 100875, China.
Zhiyong QuSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, Beijing 100875, China.
Jing GuoDepartment of Sociology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
Weijun ZhangSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, Beijing 100875, China.ORCID 0000-0003-3436-3371
Donghua TianSchool of Social Development and Public Policy, China Institute of Health, Beijing Normal University, Beijing 100875, China.ORCID 0000-0003-4586-5502

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Type D PersonalityChinaDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGlycated HemoglobinHumansMaleMedication AdherenceMiddle AgedGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID28280745
PMCPMC5322451

What OpenQuestion holds

Textmetadata
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.