Evidence map›Paper›PMID 37286704›Full record

ArticleScientific reports2023

Validation of urinary reproductive hormone measurements using a novel smartphone connected reader.

Siddharth Pattnaik, Dipankar Das, Varun Akur Venkatesan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 9% 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.

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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Review
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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

3 authors at 1 institution in 1 country.

Siddharth PattnaikSamplytics Technologies Pvt. Ltd., 44, SKS Plaza, 2nd Floor, 100 Ft Road, Koramangala 4th Block, Bangalore, 452012, India. siddharth@inito.com.
Dipankar DasSamplytics Technologies Pvt. Ltd., 44, SKS Plaza, 2nd Floor, 100 Ft Road, Koramangala 4th Block, Bangalore, 452012, India.
Varun Akur VenkatesanInito Inc., 355 Bryant Street, Unit 403, San Francisco, CA, 94107, USA.
Wockhardt (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Home use tests to monitor hormone trends during the menstrual cycle have been available over-the-counter for a long time. However, these tests often depend upon manual readouts and hence may lead to false analysis. Furthermore, a lot of these tests are also not quantitative. The aim of this study was to evaluate the accuracy of the quantitative home-based fertility monitor, Inito Fertility Monitor (IFM) and to use it to identify novel hormone trends in natural menstrual cycles. There were two aspects to our analysis: (i) Evaluating the efficacy of Inito Fertility Monitor in the measurement of urinary Estrone-3-glucuronide (E3G), Pregnanediol glucuronide (PdG) and Luteinizing hormone (LH), and (ii) A retrospective study of patients' hormone profiles using IFM. To evaluate the efficacy, the recovery percentage of the three hormones from IFM was evaluated using standard spiked solutions, the accuracy of measurement was calculated and the correlation between reproducible values from IFM and ELISA was established. During the validation of IFM, novel hormone trends were also observed. In order to reinforce the observations, a second group of 52 women was recruited. Assessment of the accuracy of IFM and evaluation of the volunteer urine samples was performed in a laboratory. Home assessment of hormone analysis was carried out using IFM. For the validation study, 100 women aged 21-45 years with cycle lengths ranging from 21 to 42 days were recruited. The participants had no previously diagnosed infertility conditions and their cycle lengths did not vary for more than 3 days from the expected cycle length. Daily first morning urine samples were collected from these 100 women. For the second group, 52 women were selected meeting the same criteria set for the validation study and IFM was provided to these women for testing at home. Coefficient of variation and recovery percentage of IFM with respect to laboratory based ELISA. Percentage occurrence of novel hormone trends and AUC analysis of a novel criteria identified for confirming ovulation. We observed that with all three hormones, IFM had an accurate recovery percentage. We found that the assay has an average CV of 5.05% in PdG measurement, 4.95% in E3G measurement and 5.57% in LH measurement. Furthermore, in predicting the concentration of E3G, PdG and LH in urine samples, we show that IFM has a high correlation with ELISA. In this study, we could also reproduce hormones trends across the menstrual cycle that have been observed by previous studies. We also identified a novel criterion for earlier confirmation of ovulation which could accurately distinguish ovulatory from anovulatory cycles with 100% specificity and had an area under the ROC curve of 0.98. In addition, we identified a new hormone trend which could be observed in 94.5% of the ovulatory cycles. The Inito Fertility Monitor is an effective tool for calculating the urinary concentrations of E3G, PdG and LH and can also be used to provide accurate fertility scores and confirm ovulation. We show that certain hormone trends associated with urinary E3G, PdG and LH could be accurately captured using IFM. In addition, we report a novel criterion for earlier confirmation of ovulation compared to existing criteria. Finally, we present a novel hormone pattern associated with most of the menstrual cycles by examining hormone profiles from the volunteers recruited for the clinical trial.Trial registration: The trial is registered at the current controlled trials ISRCTN registry #ISRCTN15534557.

Indexed as

Menstrual CycleSmartphoneFemaleHumansLuteinizing HormoneOvulationRetrospective StudiesLuteinizing Hormone

Identifiers

PMID37286704
PMCPMC10247788
OpenAlexW4379768215

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.