Evidence map›Paper›PMID 37065383›Full record

ArticleCureus2023

The Relationship Between the Dipping Pattern and Coronary Artery Disease Severity Assessed by the SYNTAX Score in Patients With Hypertension.

Fatih Kartaler, Mürsel Şahin, Oğuzhan E Turan, Merih Kutlu

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. A Practical Predictor for Identifying Reverse-Dipper Blood Pressure Patterns: Left Atrial Coupling Index.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2025
    Article
  2. Observational
  3. 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

4 authors at 3 institutions in 2 countries.

Fatih KartalerCardiology, Soma State Hospital, Manisa, TUR.
Mürsel ŞahinCardiology, Medical School, Karadeniz Technical University, Trabzon, TUR.
Oğuzhan E TuranCardiology, Medical School, Dokuz Eylül University, İzmir, TUR.
Merih KutluCardiology, Medical School, Karadeniz Technical University, Trabzon, TUR.
Dokuz Eylül University · TRKaradeniz Technical University · TRState Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The morbidity and mortality rates related to hypertension (HT) are still high despite the developments in this area. Nondipper hypertension (NDHT) is related to worse clinical outcomes. But the dipping pattern of HT is not still used for treatment targets. In this study, we investigated the effect of dipping patterns on coronary artery disease (CAD) complexity evaluated by the SYNTAX score (SS). Methodology Patients with stable CAD and HT were included in the study. All patients were monitored with 24-hour ambulatory monitoring, and dipping patterns were evaluated. Coronary artery complexity was determined by SS for all patients and compared along with different dipping patterns. Results A total of 331 patients with HT and stable CAD were evaluated in the study. The mean age of the patients was 62.6 ± 9.9 years, and 172 (52%) were male. The number and percentage of patients with dipper HT (DHT), NDHT, over-dipper HT (ODHT), and reverse-dipper HT (RDHT) were 89 (26%), 143 (43%), 11 (3%), and 88 (26%), respectively. When the groups were compared according to SS, the SS of the patients with RDHT were significantly higher (the SS were 6.33, 4.99, 3.09, and 2.7 for RDHT, ODHT, NDHT, and DHT, respectively,

Indexed as

coronary artery diseasedipping patternhypertensionnon-dippersyntax score

Identifiers

PMID37065383
PMCPMC10096864
OpenAlexW4324093660

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.