Evidence map›Paper›PMID 40357200›Full record

ArticleFrontiers in endocrinology2025

Case Report: Management of a patient with Sheehan's syndrome presenting with anxiety and depression.

Hongxia Liu, Rensheng Chen, Chengzhen Feng, Di Zhu, Chao Luo, Guanming Chen, Yuehua Chen

Abstract readCase Reports
In one paragraph

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

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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

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

7 authors.

Hongxia LiuDepartment of General Practice, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, China.
Rensheng ChenDepartment of Orthopedic, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, China.
Chengzhen FengDepartment of General Practice, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, China.
Di ZhuDepartment of General Practice, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, China.
Chao LuoDepartment of General Practice, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, China.
Guanming ChenDepartment of General Practice, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, China.
Yuehua ChenDepartment of General Practice, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sheehan's syndrome is a rare and under-recognized disorder that may be encountered in a variety of clinical settings. The diagnosis of the condition is challenging due to its rarity and the fact that it is often overlooked in differential diagnoses. In addition, there are no characteristic clinical features or routine laboratory tests that immediately inform the diagnosis. We report the case of a 50-year-old woman diagnosed with an anxiety-depressive state, who had marked and progressive symptoms, which resolved more rapidly following treatment with escitalopram oxalate and recurred after discontinuation of the medication. Further examination revealed abnormalities in hormone levels and pituitary augmentation MRI, based which the patient was finally diagnosed with Sheehan's syndrome. This case emphasizes the rarity of patients with Sheehan's syndrome presenting with anxiety and depression, thereby presenting a diagnostic challenge to clinicians. The objective of this case report is to emphasize the necessity for heightened awareness among healthcare professionals regarding patients with rare clinical presentations and the significance of timely and collaborative treatment strategies.

Indexed as

AnxietyDepressionHypopituitarismCitalopramDiagnosis, DifferentialFemaleHumansMagnetic Resonance ImagingMiddle AgedCitalopramanxietycase reportdepressionhormoneSheehan’s syndrome

Identifiers

PMID40357200
PMCPMC12066339

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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.