Evidence map›Paper›PMID 37372070›Full record

ArticleBiology2023

Periovulatory Subphase of the Menstrual Cycle Is Marked by a Significant Decrease in Heart Rate Variability.

Ajna Hamidovic, John Davis, Margaret Wardle, Aamina Naveed, Fatimata Soumare

Open access · goldAbstract read
In one paragraph

Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
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 at 1 institution in 1 country.

Ajna HamidovicDepartment of Pharmacy, University of Illinois at Chicago, 833 S. Wood St., Chicago, IL 60612, USA.ORCID 0000-0002-8975-5674
John DavisDepartment of Psychiatry, University of Illinois at Chicago, 1601 W. Taylor St., Chicago, IL 60612, USA.ORCID 0000-0003-3963-1654
Margaret WardleDepartment of Psychology, University of Illinois at Chicago, 1007 W. Harrison St., Chicago, IL 60607, USA.
Aamina NaveedDepartment of Pharmacy, University of Illinois at Chicago, 833 S. Wood St., Chicago, IL 60612, USA.
Fatimata SoumareDepartment of Pharmacy, University of Illinois at Chicago, 833 S. Wood St., Chicago, IL 60612, USA.
University of Illinois Chicago · US

Funding

Late Luteal Phase Reactivity to StressR21MH119642 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HAMIDOVIC, AJNA · 2019 to 2020
$440k
NIMH NIH HHS R21MH119642
6 · The paper itself

Abstract

(1) Background: High-frequency heart rate variability (HF-HRV) is an essential ultradian rhythm that reflects the activity of the PNS to decelerate the heart. It is unknown how HF-HRV varies across the menstrual cycle (MC), and whether progesterone mediates this potential variation. (2) Methods: We enrolled 33 women in the study to attend eight clinic visits across the MC, during which we measured their resting HF-HRV and collected samples for the analysis of luteinizing hormone (LH) and progesterone. We realigned the study data according to the serum LH surge to the early follicular, mid-follicular, periovulatory, early luteal, mid-luteal and late luteal subphases. (3) Results: Pairwise comparisons between all the subphases showed significant differences between the early follicular and periovulatory subphases (β = 0.9302;

Indexed as

heart rate variabilityluteinizing hormonemenstrual cycleovulationprogesterone

Identifiers

PMID37372070
PMCPMC10295577
OpenAlexW4378715455

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.