Evidence map›Paper›PMID 36721176›Full record

ArticleReproductive biology and endocrinology : RB&E2023

Polycystic ovary syndrome preceding the diagnosis of acromegaly: a retrospective study in 97 reproductive-aged women.

Anamil M Khiyami, Tahereh Orouji Jokar, Hussein M Abdallah, Paul A Gardner, Georgios A Zenonos, Aaron K Styer, Pouneh K Fazeli

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 12% 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.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Guideline
  2. Current controversies in acromegaly care.The Journal of clinical endocrinology and metabolism · 2026
    Review
  3. Article
  4. Article
  5. 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

7 authors at 4 institutions in 2 countries.

Anamil M Khiyami *Neuroendocrinology Unit, Division of Endocrinology and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Tahereh Orouji Jokar *Neuroendocrine Unit, Massachusetts General Hospital, Boston, MA, USA.
Hussein M AbdallahUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Paul A GardnerDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Georgios A ZenonosDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Aaron K StyerBeth Israel Deaconess Medical Center and Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA.
Pouneh K FazeliNeuroendocrinology Unit, Division of Endocrinology and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. pkfazeli@pitt.edu.ORCID https://orcid.org/0000-0003-1731-2927
University of Pittsburgh · USBeth Israel Deaconess Medical Center · USMassachusetts General Hospital · USPrincess Nourah bint Abdulrahman University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcromegaly is a disease of growth hormone excess that results in enlargement of extremities, abnormal glucose and lipid metabolism, and gonadal disruption. Manifestations of the disease are insidious and typically lead to a diagnostic delay of 7-10 years. Classically the polycystic ovary syndrome (PCOS) phenotype is described in women with irregular menses, clinical or biochemical evidence of androgen excess, and/or multiple ovarian follicles on pelvic ultrasonography. Women with acromegaly may present with some or all of these symptoms. Our objective was to evaluate the prevalence of PCOS in patients with acromegaly and to determine if diagnosis of PCOS results in a delay in diagnosing acromegaly.

methodsUsing patient databases at two academic health centers, we identified 97 premenopausal women aged 18-49 years old presenting with acromegaly. Data were collected regarding pelvic sonography and reproductive history, including the diagnosis of PCOS. Patients carrying the diagnosis of PCOS before their diagnosis of acromegaly were identified and the remaining patients were screened using the Rotterdam criteria to identify additional patients meeting the criteria for PCOS prior to their diagnosis of acromegaly.

resultsMean age of the population (n = 97) at the time of diagnosis of acromegaly was 33.4 ± 7.5 years (SD). Thirty-three percent of patients (n = 32) either carried a diagnosis of PCOS or met diagnostic criteria for PCOS before their diagnosis of acromegaly. In the subset of patients in whom data on symptom onset were available, those who met criteria for PCOS were diagnosed with acromegaly a median of 5 years [4, 9] after the onset of symptoms compared to 2 years [0.92, 3] (p =  0.006) in the patients who did not meet criteria for PCOS.

conclusionsOur data demonstrate a high prevalence of signs and symptoms of PCOS in reproductive-aged women with acromegaly and a longer time to diagnosis in women who meet the clinical criteria for PCOS. As screening for acromegaly is relatively simple and done with measurement of a random, non-fasting IGF-1 level that can be drawn at any time during the menstrual cycle, screening patients with PCOS for acromegaly may lessen the delay in diagnosis for reproductive-aged women with this disease.

Indexed as

AcromegalyPolycystic Ovary SyndromeAdultDelayed DiagnosisFemaleHumansReproductionRetrospective StudiesAcromegalyGrowth hormoneHirsutismIGF-1Irregular mensesPCOS

Identifiers

PMID36721176
PMCPMC9890864
OpenAlexW4318755446

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.