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Record W3159252372 · doi:10.1210/jendso/bvab048.1514

Skeletal Muscle Health in Polycystic Ovary Syndrome: Protective Effect of Hyperandrogenism or Detrimental Effect of Insulin Resistance? A Systematic Review and Meta-Analysis

2021· review· en· W3159252372 on OpenAlexaff
Maryam Kazemi, Roger A. Pierson, Stephen Parry, Mojtaba Kaviani, Philip D. Chilibeck

Bibliographic record

VenueJournal of the Endocrine Society · 2021
Typereview
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsAcadia UniversityUniversity of Saskatchewan
Fundersnot available
KeywordsHyperandrogenismInsulin resistancePolycystic ovaryInternal medicineEndocrinologyLean body massMedicineSkeletal muscleInsulinPhysiology

Abstract

fetched live from OpenAlex

Abstract Women with polycystic ovary syndrome (PCOS) exhibit reduced skeletal muscle insulin-mediated glucose uptake. Altered muscle mass may affect insulin resistance (IR) and inflammation, thereby potentially aggravating reproductive status including ovulatory cyclicity and fertility potential. However, the relationship between PCOS and skeletal muscle mass is elusive given conflicting reports on protective or detrimental influence of PCOS endocrine derangements (hyperandrogenism, IR) on muscle. We evaluated whether muscle mass and function are affected by PCOS in response to a call to elucidate musculoskeletal alterations in the International Evidence-based Guideline for the Assessment and Management of PCOS. Databases of MEDLINE, Web of Science, and Scopus were searched (January 1990 to September 2020) to identify observational studies on skeletal muscle mass (lean tissue mass) and function (strength) in PCOS and control groups. The primary outcome was total lean body mass (LBM) or fat-free mass (FFM). Data were pooled by random-effects models and expressed as weighted mean differences and 95% confidence intervals. Forty-five studies (n = 3,676 [1,854, PCOS; 1,822, controls]) were eligible. Forty-one evaluated lean tissue mass and five strength. PCOS groups had increased total (0.83 [0.08, 1.58] kg; P=0.03; I2 = 72.0%) yet comparable trunk (0.84 [-0.37, 2.05] kg; P = 0.15; I2 = 73.0%) LBM/FFM. There were no associations between mean differences of groups in total testosterone (TT) or homeostatic model assessment of IR (HOMA-IR) and total/trunk LBM/FFM (All: P ≥ 0.75) by meta-regressions. However, mean differences of groups in body mass index (BMI) were associated with total (0.65 [0.23, 1.06] kg; P < 0.01; I2 = 56.9%) and trunk (0.56 [0.11, 1.01] kg; P = 0.02; I2 = 42.8%) LBM/FFM. Accordingly, PCOS sub-group with overweight/obesity (BMI ≥ 25 kg/m2) exhibited greater total LBM/FFM than controls (1.58 [0.82, 2.34] kg; P < 0.01; I2 = 64.0%) unlike a lean (BMI < 25 kg/m2) sub-group (-0.45 [-1.94, 1.05] kg; P = 0.53; I2 = 69.5%). Some study results were contradictory (i.e., increased appendicular mass or strength in PCOS group or comparable findings between groups) and study methodology varied; thus, inclusion in meta-analyses was not possible. PCOS cohorts have a tendency for increased total and trunk lean tissue mass likely attributed to obesity. However, most critically, whether PCOS influences other lean tissue areas (appendicular), morphology, and function is unclear. Our observations do not support any protective/detrimental influence of hyperandrogenism (TT) or IR (HOMA-IR) on lean mass. Heterogeneity among studies warrants research to address any contributions of lifestyle, healthcare, and biological factors to observed differences for future guideline recommendations to improve PCOS musculoskeletal and reproductive health (www.crd.york.ac.uk/PROSPERO ID, CRD42020203490).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.758
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0130.009
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.342
Teacher spread0.313 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations0
Published2021
Admission routes1
Has abstractyes

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