Evidence map›Paper›PMID 38349517›Full record

Observational studyJournal of endocrinological investigation2024

Postmenopausal onset of androgen excess: a diagnostic and therapeutic algorithm based on extensive clinical experience.

M Luque-Ramírez, L Nattero-Chávez, C Rodríguez-Rubio Corona, A E Ortiz-Flores, A M García-Cano, M Rosillo Coronado, B Pérez Mies, I Ruz Caracuel, H F Escobar-Morreale

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Journal of endocrinological investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

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

  1. Guideline
  2. Approach to the patient: investigation of postmenopausal androgen excess.The Journal of clinical endocrinology and metabolism · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

M Luque-RamírezDiabetes, Obesity, and Human Reproduction Research Group, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Universidad de Alcalá, Centro de Investigación Biomédica en RED (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain. manuel.luquer@uah.es.ORCID http://orcid.org/0000-0002-6002-4237
L Nattero-ChávezDiabetes, Obesity, and Human Reproduction Research Group, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Universidad de Alcalá, Centro de Investigación Biomédica en RED (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.
C Rodríguez-Rubio CoronaDepartment of Gynecology and Obstetrics, Hospital Universitario Ramón y Cajal, Madrid, Spain.
A E Ortiz-FloresDiabetes, Obesity, and Human Reproduction Research Group, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Universidad de Alcalá, Centro de Investigación Biomédica en RED (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.
A M García-CanoDepartment of Biochemistry, Hospital Universitario Ramón y Cajal, Madrid, Spain.
M Rosillo CoronadoDepartment of Biochemistry, Hospital Universitario Ramón y Cajal, Madrid, Spain.
B Pérez MiesDepartment of Pathology, Hospital Universitario Ramón y Cajal, IRYCIS, CIBERONC, Madrid, Spain.
I Ruz CaracuelDepartment of Pathology, Hospital Universitario Ramón y Cajal, IRYCIS, CIBERONC, Madrid, Spain.
H F Escobar-MorrealeDiabetes, Obesity, and Human Reproduction Research Group, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Universidad de Alcalá, Centro de Investigación Biomédica en RED (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.
Universidad de Alcalá · ESHospital Universitario Ramón y Cajal · ESInstituto Ramón y Cajal de Investigación Sanitaria · ES

Funding

Instituto de Salud Carlos III PI1801122Instituto de Salud Carlos III PI2100116
6 · The paper itself

Abstract

purposePostmenopausal hyperandrogenism is a rare condition that requires identifying those women bearing a life-threatening tumor. We aimed to study diagnostic work-up and management of postmenopausal androgen excess, proposing an algorithm for clinical decision supporting.

methodsWe conducted an observational cross-sectional study and longitudinal follow-up including 51 consecutive menopausal patients reported for hyperandrogenism between 2003 and 2023 to our clinics. We assessed diagnostic testing accuracy and performance by receiver operating characteristic curves, their respective areas under the curve (AUC

resultsMost commonly, postmenopausal hyperandrogenism derived from benign conditions such as ovarian hyperthecosis (n = 9). However, four (8%) patients had borderline/malignant tumors arising at the ovaries (n = 3) or adrenals (n = 1). These latter were more likely to develop virilization than those with benign disorders [specificity(95%CI)]: 0.87 (0.69; 0.92)]. Circulating total testosterone [AUC

conclusionsClinical or biochemical features of an aggressive androgen-secreting tumor should lead to urgently obtaining a targeted imaging. At first, an abdominal-pelvic CT scan represents the best choice to perceive adrenal malignancy, and may identify aggressive ovarian tumors. When warning signs are lacking, a calm and orderly work-up allows properly addressing the diagnostic challenge of postmenopausal hyperandrogenism.

Indexed as

AlgorithmsAndrogensHyperandrogenismPostmenopauseAgedCross-Sectional StudiesFemaleFollow-Up StudiesHumansLongitudinal StudiesMiddle AgedOvarian NeoplasmsTestosteroneAndrogensTestosteroneAdrenal cortexAndrogenEndocrine tumorsManagement of endocrine diseaseOvary

Identifiers

PMID38349517
PMCPMC11266381
OpenAlexW4391779760

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.