Bibliographic record
Abstract
PURPOSE OF REVIEW: In nephrogenic diabetes insipidus (NDI), the kidney is unable to concentrate urine despite elevated concentrations of the antidiuretic hormone arginine-vasopressin. In congenital NDI, polyuria and polydipsia are present from birth and should be immediately recognized to avoid severe episodes of dehydration. Unfortunately, NDI is still often recognized late after a 'diagnostic odyssey' involving false leads and dangerous treatments.Once diagnosed, appropriate treatment can be started. Moreover, laboratory studies have identified promising new compounds, which may help achieve urinary concentration independent of vasopressin. RECENT FINDINGS: MAGED2 mutations caused X-linked polyhydramnios with prematurity and a severe but transient form of antenatal Bartter's syndrome.We distinguish two types of hereditary NDI: a 'pure' type with loss of water only and a complex type with loss of water and ions. Mutations in the AVPR2 or AQP2 genes, encoding the vasopressin V2 receptor and the water channel Aquaporin2, respectively, lead to a 'pure' NDI with loss of water but normal conservation of ions. Mutations in genes that encode membrane proteins involved in sodium chloride reabsorption in the thick ascending limb of Henle's loop lead to Bartter syndrome, a complex polyuric-polydipsic disorder often presenting with polyhydramnios. A new variant of this was recently identified: seven families were described with transient antenatal Bartter's syndrome, polyhydramnios and MAGED2 mutations.Multiple compounds have been identified experimentally that may stimulate urinary concentration independently of the vasopressin V2 receptor. These compounds may provide new treatments for patients with X-linked NDI. SUMMARY: A plea for early consideration of the diagnosis of NDI, confirmation by phenotypic and/or genetic testing and appropriate adjustment of treatment in affected patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.008 |
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 source (direct Gemma or distilled Codex), 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".