Evidence map›Paper›PMID 41089290›Full record

Observational studyFrontiers in endocrinology2025

How to enhance prediction of clinical outcomes in poor responders: integrating high-specific assays for anti-mullerian hormone with antral follicle count.

Laura Melado, Ajay Kumar, Bhanu Kalra, Erkan Kalafat, Barbara Lawrenz, Human Fatemi

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03826888 (Measurement of Different Anti-Müllerian Hormone Isoforms in Expected Poor Responders), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT03826888 completednot on this map

Measurement of Different Anti-Müllerian Hormone Isoforms in Expected Poor Responders: Does it Matter?

TypeobservationalSponsorART Fertility Clinics LLCRan2019 to 2022Enrolled72ConditionsAnti-Mullerian Hormone Isoforms
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Laura MeladoIVF Department, ART Fertility Clinics, Abu Dhabi, United Arab Emirates.
Ajay KumarScientific Department, Ansh Labs, Webster, TX, United States.
Bhanu KalraScientific Department, Ansh Labs, Webster, TX, United States.
Erkan KalafatIVF Department, ART Fertility Clinics, Abu Dhabi, United Arab Emirates.
Barbara LawrenzIVF Department, ART Fertility Clinics, Abu Dhabi, United Arab Emirates.
Human FatemiIVF Department, ART Fertility Clinics, Abu Dhabi, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Anti-Müllerian Hormone (AMH) and antral follicle count (AFC) are commonly used markers of ovarian reserve, yet their predictive accuracy in patients with low ovarian reserve remains limited. This study aimed to evaluate whether high-specific AMH assays targeting distinct molecular isoforms enhance the prediction of oocyte yield following ovarian stimulation (OS). Methods: A prospective observational study was conducted from February 2019 to December 2021 in a tertiary fertility center, including 72 women with low ovarian reserve (AMH <1.1ng/mL). On cycle day 2/3 before OS, Antral Follicle Count (AFC) and serum FSH, LH, estradiol, progesterone, and AMH levels were measured with the Elecsys assay (Roche). Frozen serum samples were analyzed with four high-specific AMH assays (AnshLabs, Texas): AL-196, AL-124, AL-105, and AL-133. Correlations were examined between AMH assays, AFC, and OS outcomes. Results: Patients' median age was 39 years, with AFC of 5.5 and median AMH-Elecsys of 0.64 ng/mL. All AMH assays correlated significantly with AFC and stimulation outcomes. The AL-196 assay showed the highest correlation with the number of follicles, cumulus-oocyte complexes (COCs), and metaphase II (MII) oocytes. Models combining AFC and AMH assays were strong predictors of COCs and MII oocytes, with AFC+AL-196 offering the best predictive value (Adjusted R2 = 0.474 for COCs and 0.485 for MII, p<0.001). Conclusion: High-specific AMH assays using linear-epitope antibodies improve the accuracy of predicting oocyte yield in women with low ovarian reserve, thereby enabling more precise counselling and supporting personalized ovarian stimulation strategies. Clinical trial registration: NCT03826888.

Indexed as

Anti-Mullerian HormoneOvarian FollicleOvarian ReserveOvulation InductionAdultBiomarkersFemaleFertilization in VitroHumansOocytesPregnancyPrognosisProspective StudiesTreatment OutcomeAnti-Mullerian HormoneBiomarkersAFCAMH ELISA assaysAMH isoformslow ovarian reserveovarian response

Identifiers

PMID41089290
PMCPMC12515637

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.