Evidence map›Paper›PMID 39967958›Full record

ArticleArchives of medical science : AMS2024

Gender differences in efficiency of the telemedicine care of heart failure patients. The results from the TeleEduCare-HF study.

Agata Bielecka-Dabrowa, Dariusz Trzmielak, Agata Sakowicz, Kamil Janikowski, Maciej Banach

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Atherosclerotic features in patients with heart failure.Archives of medical science : AMS · 2025
    Article
  4. 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.

Agata Bielecka-DabrowaDepartment of Cardiology and Adult Congenital Heart Diseases, Polish Mother's Memorial Hospital Research Institute (PMMHRI), Lodz, Poland.
Dariusz TrzmielakUniversity of Lodz, Poland.
Agata SakowiczDepartment of Medical Biotechnology, Medical University of Lodz, Poland.
Kamil JanikowskiDepartment of Cardiology and Adult Congenital Heart Diseases, Polish Mother's Memorial Hospital Research Institute (PMMHRI), Lodz, Poland.
Maciej BanachDepartment of Cardiology and Adult Congenital Heart Diseases, Polish Mother's Memorial Hospital Research Institute (PMMHRI), Lodz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of this study was to implement a model of healthcare for patients with heart failure (HF) and to assess the differences between men and women in the study population. Material and methods: Through care and an extensive educational panel (dietary recommendations, physical activity, titration of diuretics, psychological support), emphasis was placed on prevention. All patients had a baseline cardiology consultation with recommendations regarding treatment, self-care, diet, and exercise. Based on regular measurements of weight and blood pressure HF patients were telemonitored by nurses, primary care physicians and referred to cardiologists when necessary. The questionnaire was conducted in all patients at baseline after enrollment to the study and after 3 months of telemonitoring and extensive educational process. Results: The study finally included 140 men with an average age of 66 years (SD: 56-71) and 163 women with an average age of 64 years (58-72). The ischemic origin of HF was present in 78% of men and 73% of women ( Conclusions: Women suffer more often from HF symptoms and have worse quality of life assessed in EQ-5D-5L than men despite their higher LVEF.

Indexed as

comorbiditiesgender differencesheart failuretelemonitoring

Identifiers

PMID39967958
PMCPMC11831338

What OpenQuestion holds

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Registered trials

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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.