Evidence map›Paper›PMID 29718952›Full record

ArticlePloS one2018

Women are less likely than men to achieve optimal glycemic control after 1 year of treatment: A multi-level analysis of a Korean primary care cohort.

Seung-Ah Choe, Joo Yeong Kim, Young Sun Ro, Sung-Il Cho

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

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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

4 authors.

Seung-Ah ChoeDepartment of Obstetrics and Gynecology, CHA University, School of Medicine, Gyeonggi-do, Republic of Korea.
Joo Yeong KimDepartment of Emergency Medicine, Korea University Ansan Hospital, Gyeonggi-do, Republic of Korea.
Young Sun RoLaboratory of Emergency Medical Services, Seoul National University Hospital Biomedical Research Institute, Seoul, Republic of Korea.
Sung-Il ChoDepartment of Epidemiology, Graduate School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0003-4085-1494

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated differences in the achievement of glycemic control among newly diagnosed type-2 diabetes patients according to gender using a multi-clinic retrospective cohort study. Optimal glycemic control was defined as hemoglobin A1c (HbA1c) of less than 6.5% after 1 year of diabetes management. A generalized linear mixed model, which controlled for the fixed effects of baseline characteristics and prescribed oral hypoglycemic agent (OHA), was used to calculate the probability of achieving the target HbA1c. The study included 2,253 newly diagnosed type-2 diabetes patients who completed 1 year of diabetic management, including OHA, in the 36 participating primary clinics. Within the study population, the women had an older average age, were less likely to smoke or drink alcohol, and showed lower levels of fasting blood glucose and HbA1c at the time of diagnosis. There were no significant differences by sex in prescribed OHA or median number of visits. After 1 year of diabetes management, 38.9% of women and 40.6% of men achieved the target HbA1c-a small but significant difference. This suggests that type-2 diabetes is managed less well in women than in men.

Indexed as

AdultAgedAge FactorsDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHypoglycemic AgentsMaleMiddle AgedOdds RatioPrimary Health CareRepublic of KoreaRetrospective StudiesSex FactorsTreatment OutcomeGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic Agents

Identifiers

PMID29718952
PMCPMC5931663

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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.