Evidence map›Paper›PMID 27109832›Full record

ArticleScientific reports2016

Relationship between blood pressure reverse dipping and type 2 diabetes in hypertensive patients.

Lu Sun, Bin Yan, Ya Gao, Dan Su, Liyuan Peng, Yang Jiao, Yuhuan Wang, Donggang Han, Gang Wang

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Blood pressure related to age: The India ABPM study.Journal of clinical hypertension (Greenwich, Conn.) · 2019
    Article
  15. Article
  16. Chronotherapy for Hypertension.Current hypertension reports · 2018
    Review
  17. Observational
  18. Article
  19. Article
  20. 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

9 authors.

Lu SunDepartment of Ultrasound, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Bin YanDepartment of Emergency Medicine, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Ya GaoDepartment of Emergency Medicine, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Dan SuDepartment of Cardiology, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Liyuan PengDepartment of Emergency Medicine, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Yang JiaoDepartment of Endocrinology, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Yuhuan WangDepartment of Endocrinology, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Donggang HanDepartment of Ultrasound, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Gang WangDepartment of Emergency Medicine, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies suggested that nocturnal variations of blood pressure (BP) were closely related to type 2 diabetes. However, little information has been revealed about the relationship between reverse-dipper pattern of BP and type 2 diabetes. In this cross-sectional study, BP variations of 531 hypertensive patients were evaluated with ambulatory BP monitoring (ABPM). Diagnosis of diabetes in Chinese adults was made according to diabetes diagnostic criteria of 2015. Multivariate logistic regression was used to examine the relationships between type 2 diabetes and ABPM results. In the study, patients with reverse-dipper pattern (32.3%) had the highest prevalence of type 2 diabetes compared with dippers (21.4%) and nondippers (23.3%). After multivariate logistic regression, reverse-dipper BP pattern (OR 2.067, P = 0.024) and nondipper BP pattern (OR 1.637, P = 0.039) were found to be correlated with type 2 diabetes compared with dipper pattern. The results of our study also suggested that type 2 diabetes might contribute to the reverse-dipper pattern of BP (OR 1.691, P = 0.023). In addition, fasting glucose was negatively correlated with the decline rate of nocturnal SBP (r = -0.095, P = 0.029). Reverse-dipper pattern of BP in ABPM may be independently associated with type 2 diabetes in patients with hypertension.

Indexed as

Circadian RhythmAdultAgedAged, 80 and overBlood PressureBlood Pressure Monitoring, AmbulatoryChinaCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansHypertensionLogistic ModelsMaleMiddle Aged

Identifiers

PMID27109832
PMCPMC4842986

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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.