Evidence map›Paper›PMID 39379045›Full record

ArticleSeminars in reproductive medicine2024

Helping Patients to Predict and Confirm Ovulation with the Use of Combined Urinary Hormonal and Smartphone Technology: A Proof-of-Concept Retrospective Descriptive Case Series.

Rene Leiva, Rene Ecochard

Registry-linked trialAbstract read
In one paragraph

Article in Seminars in reproductive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07248046 (Comparing Cervical Mucus, PDG, LH, and Basal Body Temperature Combinations for Ovulation and Luteal Phase Identification Using the Premom Smartphone App Versus User-Read Test Results), which is not on this 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.

NCT07248046 active not recruitingnot on this mapstarted 2026, after this paper: background citation

Comparing Cervical Mucus, PDG, LH, and Basal Body Temperature Combinations for Ovulation and Luteal Phase Identification Using the Premom Smartphone App Versus User-Read Test Results: A Prospective Observational Study

TypeobservationalSponsorBruyère Health Research Institute.Ran2026 to 2026Enrolled30ConditionsFertility, Mobile Applications, Artifical Intelligence, Cervical MucusArmsPremom App-Assisted Fertility Tracking
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

2 authors.

Rene LeivaDepartment of Family Medicine, Bruyere Research Institute, University of Ottawa, Ottawa, Ontario, Canada.ORCID 0000-0002-1395-3236
Rene EcochardHospices Civils de Lyon, Universite de Lyon, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smartphone-based fertility awareness methods with home-based urinary hormonal testing are gaining popularity for fertility tracking. In our university-affiliated family practice, we integrated a previously developed ovulation tracking application into a protocol for monitoring urinary sex hormones and cervical secretions. Serum progesterone was used to confirm the luteal phase, with levels ≥ 15.9 nmol/L ensuring confirmation. Data from 110 women seen for infertility treatment (

Indexed as

Infertility, FemaleProgesteroneSmartphoneAdultCervix MucusFemaleHumansLuteinizing HormoneMobile ApplicationsOvulationOvulation DetectionOvulation PredictionPredictive Value of TestsPregnancyProof of Concept StudyReproductive Techniques, AssistedLuteinizing HormoneProgesterone

Identifiers

PMID39379045
PMCPMC11581822

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.