Evidence map›Paper›PMID 29144513›Full record

ArticleJournal of geriatric cardiology : JGC2017

Predictors of heart rhythm disturbances in hypertensive obese patients with obstructive sleep apnea.

Lyudmila Sergeevna Korostovtseva, Nadezhda Edvinovna Zvartau, Oxana Petrovna Rotar, Yurii Vladimirovich Sviryaev, Aleksandra Olegovna Konradi

Abstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Obstructive Sleep Apnea and Atrial Fibrillation.Journal of clinical medicine · 2022
    Review
  3. Review
  4. Article
  5. Article
  6. 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

5 authors.

Lyudmila Sergeevna KorostovtsevaResearch Department for Hypertension, Almazov National Medical Research Centre, St Petersburg, Russia.
Nadezhda Edvinovna ZvartauResearch Department for Hypertension, Almazov National Medical Research Centre, St Petersburg, Russia.
Oxana Petrovna RotarResearch Department for Hypertension, Almazov National Medical Research Centre, St Petersburg, Russia.
Yurii Vladimirovich SviryaevResearch Department for Hypertension, Almazov National Medical Research Centre, St Petersburg, Russia.
Aleksandra Olegovna KonradiResearch Department for Hypertension, Almazov National Medical Research Centre, St Petersburg, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the incidence and predictors of heart rhythm and conduction disturbances in hypertensive obese patients with and without obstructive sleep apnea (OSA).

methodsThis is an open, cohort, prospective study. Out of 493 screened patients, we selected 279 hypertensive, obese individuals without severe concomitant diseases: 75 patients without sleep-disordered breathing (non-SDB group), and 204 patients with OSA (OSA group). At baseline, all patients underwent examination, including ECG, Holter ECG monitoring, and sleep study. During follow-up (on 3, 5, 7 and 10

resultsThe median follow-up was 108 (67.5-120) months. The frequency of heart rhythm disorders was higher in OSA patients (29 cases,

conclusionsHypertensive obese patients with OSA demonstrate 4-fold higher incidence of heart rhythm and conduction disturbances than subjects without SDB. Hypertension duration is an independent predictor for AF development, while sleep apnea/hypopnea duration is the main factor for heart conduction disorders onset in hypertensive obese patients with OSA.

Indexed as

Atrial fibrillationCardiovascular morbidityCardiovascular prognosisHeart conduction disorderObstructive sleep apnea

Identifiers

PMID29144513
PMCPMC5641642

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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.