Female pattern hair loss: A retrospective study in a tertiary referral center
Bibliographic record
Abstract
BACKGROUND: Female pattern hair loss (FPHL) is a very common problem in women. The underlying pathophysiology remains unclear, and there are no universally agreed treatment guidelines. OBJECTIVE: We explored the clinical features, relevant medical and family history, laboratory evaluation, and treatment and compliance of 210 patients with FPHL. METHODS: Data analysis from case notes was performed on 210 patients with a diagnosis of FPHL seen from January 2011 to December 2011. RESULTS: The youngest individual was 8 years old and the oldest was 86 years old. Nearly, 85% of the patients had a family history of androgenetic alopecia. Hypothyroidism and hypertension are the most common medical problems. Telogen effluvium (TE) is the most common concurrent hair loss condition. Only 38% of the patients were found to have normal Vitamin D level, 71% had ferritin level above 30 μg/L, and 85% had normal zinc level at the first consultation. Fifty-nine percent of the patients failed to attend any follow-up appointments. LIMITATIONS: One of the limitations of this study is its retrospective nature. Moreover, the severity of FPHL in terms of Ludwig score was not routinely documented in the medical charts. CONCLUSION: History of TE, hypothyroidism and hypertension, and low serum Vitamin D is common in our patients with FPHL.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".