Evidence map›Paper›PMID 42840377›Full record

ReviewFrontiers in endocrinology2026

Heart rate dynamics in polyendocrine metabolic ovarian syndrome: from heterogeneity to wearable digital phenotyping.

Tingting Ye, Junran Wang, Xiaoai Guo, Xinyue Liu, Yankui Li, Qiaofeng Wu

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2026. 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.

Tingting YeAcupuncture and Massage Academy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Junran WangAcupuncture and Massage Academy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xiaoai GuoAcupuncture and Massage Academy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xinyue LiuAcupuncture and Massage Academy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yankui LiAcupuncture and Massage Academy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Qiaofeng WuAcupuncture and Massage Academy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyendocrine metabolic ovarian syndrome (PMOS) is the new consensus name for polycystic ovary syndrome (PCOS), emphasizing the broader multisystem nature of the condition. Altered autonomic nervous system (ANS) regulation may provide an integrative physiological perspective on the reproductive, metabolic, and cardiovascular alterations associated with PMOS/PCOS. Heart rate variability (HRV) provides a non-invasive approach for assessing autonomic regulation; however, conventional HRV indices primarily characterize the magnitude and spectral distribution of variability. We therefore propose a multidimensional framework for investigating autonomic alterations in PMOS/PCOS. It integrates conventional HRV with heart rate fragmentation, nonlinear complexity, and deceleration and acceleration capacities derived from phase-rectified signal averaging. This Review evaluates the evidence supporting these dimensions and discusses how validated wearable monitoring, standardized preprocessing, and digital phenotyping may support future context-aware autonomic research. Prospective PMOS/PCOS-specific validation is required before these approaches can inform metabolic risk stratification, treatment monitoring, or clinical decision-making.

Indexed as

Heart RateMetabolic SyndromePolycystic Ovary SyndromeWearable Electronic DevicesAutonomic Nervous SystemDigital HealthFemaleHumansPhenotypeautonomic dysfunctiondigital phenotypingheart rate dynamicsheart rate variability (HRV)polycystic ovary syndrome (PCOS)polyendocrine metabolic ovarian syndrome (PMOS)

Identifiers

PMID42840377
PMCPMC13639433

What OpenQuestion holds

Textmetadata
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.