The Relationship Between Low Testosterone Levels and Asthenia in Adult Patients: An Original Study
Bibliographic record
Abstract
Objectives: This study assesses the correlation between testosterone levels and fatigue severity, as measured by the NRS. Methodology: This cross-sectional study was conducted from January to July 2024 at Hayatabad Medical Complex, Peshawar. A total of 150 adult patients presenting with asthenia were included. Serum testosterone levels were measured using standardized immunoassays. Fatigue severity was quantified using the Numeric rating scale (NRS), where patients rated their Fatigue on a scale from 0 (no fatigue) to 10 (extremely fatigued). Demographic data was summarized using descriptive statistics, while the Pearson correlation coefficient (r) was employed to evaluate the relationship between testosterone levels and fatigue severity. Results: The frequency of low testosterone levels (<300 ng/dL) in the study was 40% (n=60). The average testosterone level for the low testosterone group was 250 ± 20 ng/dL, compared to 450 ± 30 ng/dL for those with normal testosterone levels. Patients with low testosterone had significantly higher Fatigue NRS scores (7.5 ± 1.5) than those with normal testosterone levels (3.2 ± 1.1) (p < 0.001). A significant negative correlation was observed between testosterone levels and fatigue NRS scores (r = -0.65, p < 0.001). Conclusion: Low testosterone levels are prevalent in adult patients with asthenia and are significantly associated with increased fatigue severity, as measured by the NRS. These findings suggest that assessing testosterone levels in patients presenting with unexplained asthenia may be valuable, and testosterone replacement therapy could offer potential therapeutic benefits.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".