Type B Lactic Acidosis in a Solid-Tumour Malignancy Without Liver Metastases
Bibliographic record
Abstract
Malignancy-induced type B lactic acidosis is a rare, yet fascinating, cause of refractory acidosis in patients with cancer, often unresponsive to usual medical treatments. Case reports usually discuss the paraneoplastic phenomenon in hematologic malignancies; however, we present the case of a 72-year-old woman with metastatic breast cancer, who initially presented to hospital with an elevated lactate in the absence of acidosis. She appeared to improve with fluids; however, she then represented 2 weeks later with a severe metabolic acidosis and undetectable high lactate level. Ultimately, the patient did not respond well to supportive care, and the decision was made to pursue comfort-directed therapy. RésuméL’acidose lactique de type B induite par une tumeur est une cause rare, mais extrêmement intéressante, d’acidose réfractaire chez les patients cancéreux et qui, souvent, ne répond pas aux traitements médicaux habituels. Les études de cas traitent généralement du phénomène paranéoplasique des tumeurs malignes hématologiques; toutefois, nous présentons le cas d’une femme de 72 ans atteinte d’un cancer du sein métastatique, qui s’est d’abord présentée à l’hôpital pour un taux élevé de lactate dans le sang, mais sans acidose. Son état a semblé s’améliorer grâce à un apport de liquides; toutefois, elle s’est présentée de nouveau à l’hôpital deux semaines plus tard pour une acidose métabolique grave et un taux élevé de lactate indétectable. Au bout du compte, la patiente n’a pas bien répondu aux soins de soutien, et il a été décidé d’appliquer les soins de confort.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".