Evidence map›Paper›PMID 41234966›Full record

ArticleCureus2025

Spontaneous Pregnancy in Genetically Confirmed 11-Beta Hydroxylase Deficiency: A Case Series and Literature Review.

Pushpa Machineni, Asha Ranjan, Adlyne Reena Asirvatham, Kunal Gupta, Shriraam Mahadevan

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

5 authors.

Pushpa MachineniEndocrinology, Diabetes and Metabolism, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Asha RanjanEndocrinology, Diabetes and Metabolism, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Adlyne Reena AsirvathamEndocrinology, Diabetes and Metabolism, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Kunal GuptaEndocrinology, Diabetes and Metabolism, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Shriraam MahadevanEndocrinology, Diabetes and Metabolism, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

11-beta hydroxylase deficiency (11βOHD) is a rare variant of congenital adrenal hyperplasia (CAH) with autosomal recessive inheritance, resulting in androgen excess and mineralocorticoid precursor accumulation. Fertility is often impaired due to hyperandrogenism and anatomical abnormalities, and spontaneous successful pregnancy in classic form is rare. We describe two cases. Case 1 is a 27-year-old woman with genetically confirmed classic 11βOHD (homozygous CYP11B1 splice-site variant c.240-2A>G), initially misdiagnosed as 21-hydroxylase deficiency, who achieved spontaneous conception despite high androgen levels, long-term steroid exposure, and prior genital surgery and delivered a healthy male child. Case 2 is a genetically confirmed non-classic 11βOHD (homozygous, missense variation, c.412C>T), presented with medullary nephrocalcinosis, clinical history of polycystic ovary syndrome (PCOS) in adolescence, short stature, hypertension with hypokalemia, and had spontaneous pregnancies. These cases add to the very limited literature on spontaneous fertility in genetically confirmed 11βOHD cases and highlight its broad clinical spectrum. They emphasize the need for accurate diagnosis, long-term complications surveillance, and reproductive counselling in CAH patients.

Indexed as

11-beta-hydroxylase deficiencycongenital adrenal hyperplasiacyp11b1 genefertilityhypokalemianephrocalcinosispregnancy

Identifiers

PMID41234966
PMCPMC12611500

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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.