Evidence map›Paper›PMID 28626170›Full record

ArticleInternal medicine (Tokyo, Japan)2017

Investigating the Relationship between Morning Glycemic Variability and Patient Characteristics Using Continuous Glucose Monitoring Data in Patients with Type 2 Diabetes.

Soichi Takeishi, Akihiro Mori, Miyuka Kawai, Yohei Yoshida, Hiroki Hachiya, Takayuki Yumura, Shun Ito, Takashi Shibuya, Nobutoshi Fushimi, Noritsugu Ohashi and 1 more

Abstract read
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
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  3. Article
  4. Observational
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

11 authors.

Soichi TakeishiDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.
Akihiro MoriDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.
Miyuka KawaiDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.
Yohei YoshidaDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.
Hiroki HachiyaDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.
Takayuki YumuraDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.
Shun ItoDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.
Takashi ShibuyaDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.
Nobutoshi FushimiDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.
Noritsugu OhashiDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.
Hiromi KawaiDepartment of Endocrinology and Diabetes, Ichinomiyanishi Hospital, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To investigate the relationship between patient characteristics and morning glycemic variability. Methods We retrospectively evaluated 106 patients with type 2 diabetes who underwent continuous glucose monitoring during admission. The highest postprandial glucose level (within 3 hours after breakfast; 'highest level'), the time from the start of breakfast to the highest postprandial glucose level ('highest time'), the difference between the pre-breakfast and highest postprandial breakfast glucose level ('increase'), the area under the curve (AUC; ≥180 mg/dL) for the glycemic variability within 3 hours after breakfast ('morning AUC'), and the post-breakfast glucose gradient ('gradient') were calculated. We analyzed the associations between these factors and nocturnal hypoglycemia and the patients' characteristics by using a regression analysis. Results After stepwise multivariate adjustment, significant independent associations were found between 'highest level' and high age, low BMI, and high HbA1c; 'highest time' and high HbA1c, low C-peptide immunoreactivity (CPR), and low fasting plasma glucose (FPG); the 'increase' and high age, low BMI, high HbA1c, low FPG and hypoglycemia; 'morning AUC' and high age, high HbA1c and hypoglycemia; and 'gradient' and long duration of diabetes and low BMI. Conclusion Higher age and lower BMI are associated with higher 'highest' and 'increase' levels. Higher HbA1c levels were linked to a longer 'highest time', and longer durations of the diabetes, while lower BMI values were related to a higher 'gradient'.

Indexed as

AgedAge FactorsBlood GlucoseBody Mass IndexBreakfastC-PeptideDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansMaleMiddle AgedMonitoring, AmbulatoryPostprandial PeriodRetrospective StudiesBlood GlucoseC-PeptideGlycated HemoglobinContinuous Glucose Monitoring (CGM)morning glycemic variabilitypatient characteristics

Identifiers

PMID28626170
PMCPMC5505900

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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.