Evidence map›Paper›PMID 40231028›Full record

ArticleFrontiers in cardiovascular medicine2025

Reduced heart rate response to exercise in patients with type 2 diabetes.

Jingfeng Lou, Hongmei Lang, Yuhan Xia, Hui Jiang, Kun Li, Xingping Zhang

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jingfeng LouDepartment of General Medicine, Chengdu Second People's Hospital, Chengdu, China.
Hongmei LangDepartment of General Medicine, Chengdu Second People's Hospital, Chengdu, China.
Yuhan XiaDepartment of Endocrinology, North Sichuan Medical College, Nan Chong, China.
Hui JiangDepartment of General Medicine, Chengdu Second People's Hospital, Clinical Medical College of Chengdu Medical College, Chengdu, China.
Kun LiDepartment of General Medicine, Chengdu Second People's Hospital, Clinical Medical College of Chengdu Medical College, Chengdu, China.
Xingping ZhangDepartment of General Medicine, Chengdu Second People's Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent studies have found that heart rate response is impaired in patients with type 2 diabetes. However, it remains unclear how chronotropic competence changes in these patients and which chronotropic index is more closely related to type 2 diabetes. This study aims to investigate the changes in chronotropic competence in type 2 diabetes and compares the association of two different chronotropic indices with type 2 diabetes. Patients and methods: Patients who underwent cardiopulmonary exercise testing at the Chengdu Second People's Hospital from October 2022 to October 2023, we included. Logistic regression was used to analyze the relationship between chronotropic indices and type 2 diabetes, comparing which of the two chronotropic indices is more closely related to type 2 diabetes. Results: A total of 166 patients were included in our study, of which 42.8% had type 2 diabetes and 57.2% did not have type 2 diabetes. After adjusting for confounders, the OR for chronotropic index 1 with type 2 diabetes was 0.001 (95% CI: 0.0001-0.521, Conclusion: Heart rate response is reduced in patients with type 2 diabetes, and a low chronotropic index 2 is independently associated with type 2 diabetes.

Indexed as

cardiopulmonary exercise testingchronotropic indexcorrelationheart rate responsetype 2 diabetes

Identifiers

PMID40231028
PMCPMC11994578

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.