Evidence map›Paper›PMID 26399403›Full record

ArticleDiabetologia2016

Sleep-time BP: prognostic marker of type 2 diabetes and therapeutic target for prevention.

Ramón C Hermida, Diana E Ayala, Artemio Mojón, José R Fernández

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Diabetologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ramón C HermidaBioengineering and Chronobiology Laboratories, E.I. Telecomunicación, University of Vigo, Campus Universitario, Vigo, Pontevedra, 36310, Spain. rhermida@uvigo.es.
Diana E AyalaBioengineering and Chronobiology Laboratories, E.I. Telecomunicación, University of Vigo, Campus Universitario, Vigo, Pontevedra, 36310, Spain.
Artemio MojónBioengineering and Chronobiology Laboratories, E.I. Telecomunicación, University of Vigo, Campus Universitario, Vigo, Pontevedra, 36310, Spain.
José R FernándezBioengineering and Chronobiology Laboratories, E.I. Telecomunicación, University of Vigo, Campus Universitario, Vigo, Pontevedra, 36310, Spain.
Universidade de Vigo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisWe investigated the prognostic value of clinic and ambulatory BP (ABP) to predict new-onset diabetes and whether risk reduction is related to the progressive decrease of clinic BP or awake or asleep ABP.

methodsWe prospectively evaluated 2,656 individuals without diabetes, 1,292 men and 1,364 women, 50.6 ± 14.3 years of age, with baseline BP ranging from normotension to hypertension according to ABP criteria. At baseline and annually (more frequently if hypertension treatment was adjusted based on ABP) thereafter, ABP and physical activity (wrist actigraphy) were simultaneously monitored for 48 h to accurately derive the awake and asleep BP means.

resultsDuring a 5.9-year median follow-up, 190 participants developed type 2 diabetes. The asleep systolic ABP mean was the most significant predictor of new-onset diabetes in a Cox proportional-hazard model adjusted for age, waist circumference, glucose, chronic kidney disease (CKD) and hypertension treatment. Daytime clinic BP and awake or 48 h ABP mean had no predictive value when corrected by the asleep ABP mean. Analyses of BP changes during follow-up revealed a 30% reduction in the risk of new-onset diabetes per 1-SD decrease in asleep systolic ABP mean, independent of changes in clinic BP or awake or 48 h ABP means. CONCLUSIONS/

interpretationSleep-time BP is a highly significant independent prognostic marker for new-onset diabetes. Alteration in sleep-time BP regulation seems to precede, rather than follow, the development of new-onset diabetes. Most important, lowering asleep BP, a novel therapeutic target requiring ABP evaluation, could be a significant method for reducing new-onset diabetes risk.

Indexed as

BiomarkersAdultAgedBlood PressureBlood Pressure Monitoring, AmbulatoryCircadian RhythmDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansHypertensionMaleMiddle AgedPrognosisRisk FactorsBiomarkersAmbulatory blood pressureNew-onset diabetesSleep-time blood pressure

Identifiers

PMID26399403
OpenAlexW1771758286

What OpenQuestion holds

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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.