Causes of short stature in Pakistani children found at an Endocrine Center
Bibliographic record
Abstract
Background and Objective: Short stature is defined as height below 3rd centile. Causes of short stature can range from familial, endocrine disorders, chronic diseases to chromosomal disorders. Most common cause in literature being idiopathic short stature. Early detection and management of remedial disorders like malnutrition and vitamin D deficiency, Endocrine disorders like growth hormone deficiency & hypothyroidism can lead to attainment of expected height. Pakistani data shows idiopathic short stature as the most common cause of short stature. Our study aimed at detecting causes of short stature in children/adolescents at an Endocrine referral center.Methods: A retrospective study was conducted at WILCARE Center for Diabetes, Endocrinology & Metabolism, Lahore on 70 well-nourished children/adolescents. The patients had been evaluated clinically, biochemically and radiologically as needed. Biochemical testing included hormonal testing as well to detect endocrine causes. Data was entered and analyzed in SPSS 20.0.Results: Leading cause of short stature in our population was Growth Hormone (GH) deficiency seen in 48 out of 70 (69%) patients. Second most common endocrine abnormality seen in these patients was Vitamin D deficiency [44 out of 70 patients (63%)]. Primary hypothyroidism; pan-hypopituitarism & adrenal insufficiency were other endocrine causes. The weight for age was below 3rd percentile in 57 (81%) patients, with no association with other major causes.Conclusion: Growth hormone and Vitamin D deficiency constitute one of the major causes of short stature among well-nourished children with short stature in Pakistan.doi: https://doi.org/10.12669/pjms.326.11077How to cite this:Jawa A, Riaz SH, Assir MZK, Afreen B, Riaz A, Akram J. Causes of short stature in Pakistani children found at an Endocrine Center. Pak J Med Sci. 2016;32(6):1321-1325.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".