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Record W1998546622 · doi:10.1159/000183377

Experimental Studies on the Hemolytic-Uremic Syndrome

2008· article· en· W1998546622 on OpenAlexaff
Robert P. Bolande, Bernard S. Kaplan

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsMontreal Children's Hospital
FundersAbbott Laboratories
KeywordsHemoglobinuriaMedicineHemolysisPathogenesisPlateletPathologyImmunologyHemolytic anemia

Abstract

fetched live from OpenAlex

Ultrastructural studies of blood cells during the acute stage of the hemolytic-uremic syndrome (HUS) revealed striking, but transient, changes in erythrocyte structure. These included membrane disruption, vacuolar degeneration, and Heinz body formation. There was also evidence of platelet injury, and there were peculiar tactile interactions between histiocytes and impaired red cells. These changes disappeared as the patients recovered. These changes were considered to be important in the pathogenesis of the hemolytic and thrombolytic features of HUS, and studies were directed at reproducing them in vitro and in vivo. Treatment of red cells with purified clostridial phospholipase C induced changes in red cells and platelets that were comparable to those encountered in HUS. Rats infused with phospholipase C developed hemolysis, thrombocytopenia, and hemoglobinuria. Their kidneys did not, however, reveal glomerular alterations similar to those seen in patients with HUS. It is proposed that HUS in some cases might be initiated by a nonspecific infectious injury to the intestinal mucosa thereby allowing increased absorption of toxins derived from indigenous gut flora and that these toxins could be responsible for the hemolysis, thrombolysis, and even the renal injury.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.099
GPT teacher head0.335
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2008
Admission routes1
Has abstractyes

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Same venue˜The œNephron journals/Nephron journalsSame topicComplement system in diseasesFrench-language works237,207