Markers of ovarian reserve in women living with <scp>HIV</scp>: A systematic review
Bibliographic record
Abstract
BACKGROUND: Anti-Mullerian hormone (AMH) levels indicate ovarian reserve and are predictive of reproductive aging. Studies evaluating AMH levels in women with HIV have produced conflicting results, and reasons for inter-study differences have not been assessed. To understand reproductive aging in HIV, we conducted a systematic review of ovarian reserve among women with HIV. METHODS: We searched Ovid MEDLINE, Ovid EMBASE, and CAB Direct for studies including AMH in reproductive-aged women with HIV. Two reviewers used the Newcastle-Ottawa scale to assess the quality of extracted data. RESULTS: Of the 315 reports screened, ten met the inclusion criteria. Studies were conducted across seven countries and included 3673 women with HIV and 2342 HIV-negative women in the comparison group. Ethnic distribution, combination antiretroviral therapy coverage, and viral load suppression varied considerably across studies. Nine of the ten reviewed studies reported lower unadjusted AMH levels in women with HIV than in those without HIV; however, in studies that adjusted for confounders (n = 4), only two showed an association between HIV and AMH. Low CD4 count and high viral load correlated with low AMH in the two largest studies. Other studies found that opioid use and elevated inflammatory markers were associated with low AMH. Study quality varied considerably, and many were of low quality (n = 6). CONCLUSION: Current evidence is inconclusive about the relationship between HIV and AMH, although studies suggest a trend toward lower AMH among women with HIV. Future studies that adjust for HIV-related factors, inflammatory markers, and substance use are needed in the era of contemporary HIV care to confirm the association between HIV and reduced ovarian reserve and establish its underlying cause.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".