Evidence map›Paper›PMID 42293713›Full record

ArticleSaudi medical journal2026

Prevalence of Hyperprolactinemia and Its Association with Menstrual Abnormalities and Hypothyroidism among Infertile Women:

Aseel Y Alwahhabi, Rahaf H Labban, Maryam Y Alshaikh, Amal M Alanazi, Samaher S Alfaraj, Fahad M Alsalman, Hayat A Alrabiea

Abstract read
In one paragraph

Article in Saudi medical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

7 authors.

Aseel Y AlwahhabiCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.ORCID 0009-0008-8351-1506
Rahaf H LabbanCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Maryam Y AlshaikhCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Amal M AlanaziCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Samaher S AlfarajWomen's Health Hospital, Reproductive Endocrinology and IVF Unit, King Abdulaziz Medical City, Riyadh, Kingdom of Saudi Arabia.
Fahad M AlsalmanWomen's Health Hospital, Reproductive Endocrinology and IVF Unit, King Abdulaziz Medical City, Riyadh, Kingdom of Saudi Arabia.
Hayat A AlrabieaWomen's Health Hospital, Reproductive Endocrinology and IVF Unit, King Abdulaziz Medical City, Riyadh, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To determine the prevalence of hyperprolactinemia among infertile women and assess its association with menstrual irregularities and hypothyroidism in a tertiary-care setting in Riyadh, Saudi Arabia. Methods: A cross-sectional study was conducted between September 2022 and August 2023 at the Reproductive Endocrinology and IVF Unit, King Abdulaziz Medical City, Riyadh. Electronic medical records of 480 infertile women who met the inclusion criteria were reviewed. Data on demographic characteristics, infertility type, thyroid status, and serum prolactin levels were collected and analyzed using SAS version 9.4. Statistical significance was set at Results: Hyperprolactinemia was identified in 27.7% of infertile women, most commonly in the age group 31-40 years ( Conclusion: Hyperprolactinemia is a common finding among infertile women in Saudi Arabia. However, no significant association was observed between hyperprolactinemia and hypothyroidism or menstrual irregularities. Routine screening for serum prolactin levels in infertility evaluations is recommended to ensure timely diagnosis and management.

Indexed as

HyperprolactinemiaHypothyroidismInfertility, FemaleMenstruation DisturbancesAdultCross-Sectional StudiesFemaleHumansPrevalenceProlactinSaudi ArabiaProlactinHyperprolactinemiaHypothyroidismInfertilityMenstrual irregularitiesSaudi Arabia

Identifiers

PMID42293713
PMCPMC13264152

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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.