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Record W4403003805 · doi:10.3389/fendo.2024.1399580

Depression, anxiety and self-esteem in adolescent girls with polycystic ovary syndrome: a systematic review and meta-analysis

2024· review· en· W4403003805 on OpenAlexaboutno aff
Yuxin Li, Jiayu Zhang, Xuanling Zheng, Wenjing Lu, Jinru Guo, Fuhong Chen, Changqin Liu

Bibliographic record

VenueFrontiers in Endocrinology · 2024
Typereview
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsnot available
FundersXiamen University
KeywordsPolycystic ovaryAnxietyMeta-analysisMedicineDepression (economics)Funnel plotClinical psychologySystematic reviewObservational studyPopulationPsychiatryPublication biasMEDLINEInternal medicineObesityEnvironmental health

Abstract

fetched live from OpenAlex

Objective: Studies have shown the adverse psychological impact of polycystic ovary syndrome (PCOS), but the state of mental health in adolescents with PCOS remains unclear. Thus, we performed a systematic review and meta-analysis to investigate the prevalence and severity of depression and anxiety, as well as potential effects on self-esteem and quality of life (QoL) in this specific population. Methods: We systematically searched four electronic databases: PubMed, Embase, Web of Science, and the Cochrane Reviews database for articles published until 25/8/2024. We considered observational studies in which the subjects were adolescent girls with PCOS who had reported symptoms including anxiety, depression, self-esteem, and QoL. The Review Manager version 5.4 was used to analyze the available data extracted. We used the Newcastle-Ottawa Quality Assessment Scale (NOS) to evaluate the quality of selected studies. A funnel plot was utilized to assess the risk of literature bias, and a forest plot was used to represent the combined outcomes. This systematic review was previously registered in PROSPERO with the registration number CRD42022382036. Results: We included 11 studies in the systematic review and conducted meta-analyses on 10 of them. Adolescents with PCOS reported a higher risk of depression (OR = 2.21, 95% CI: 1.23 to 4.00, p = 0.008) and a higher level of depression scores (SMD = 0.43, 95% CI: 0.16 to 0.71, p = 0.002) than controls. There were no significant differences in anxiety (OR = 1.90, 95% CI: 0.52 to 6.96, p = 0.33; SMD = 0.19, 95% CI: -0.21 to 0.59, p = 0.36), self-esteem (SMD = -0.17, 95% CI: -0.85 to 0.52, p = 0.64), and QoL (SMD = -0.15, 95% CI: -0.42 to 0.11, p = 0.26) between the two groups. Conclusions: Our research indicated that adolescents with PCOS experienced more severe depressive symptoms than those without PCOS. This highlights the importance of evaluation and early treatment of mental health in PCOS. More clinicians should pay attention to the mental health of adolescent girls with PCOS through this study. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022382036.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.029
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0180.032
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.301
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2024
Admission routes1
Has abstractyes

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