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Record W3038318432

Apuntes para la historia de la diálisis en el mundo y en la Argentina. Primera parte: los inicios de la Hemodiálisis en el mundo

2020· article· es· W3038318432 on OpenAlexaboutno aff
Ana María Cusumano, Guillermo Javier Rosa Díez

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2020
Typearticle
Languagees
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineKidney diseaseHemodialysisNephrologyGerontologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Hemodialysis (HD), as a treatment for renal failure (RF), and nephrology, as a specialty, arose almost simultaneously. The first successful HD in humans occurred in the Netherlands, in 1945, with a kidney designed by Wilhem Kolff. The first scientific society was founded in France in 1949 (Société de Pathologie Rénale), and the second in 1950, in the United Kingdom (Renal Association). Several attempts preceded the first successful HD. In the experimental setting, John J. Abel, Leonard G. Rowntree and Benjamin B. Turner (1913, United States), George Haas (1914, Germany) and Henry Necheles (1923, China) dialyzed nephrectomized dogs. The first HD in humans were performed by Haas, between 1924 and 1927: he hemodialyzed six patients, from 15 to 30 minutes, since his objective was to test the safety of the method. Although Kolff performed the first successful HD, other authors, such as Nils Alwall (Sweden) and Gordon Murray (Canada), during the 1940s, published successful experiences with other kidney models. By the mid-1940s, HD had been invented, simultaneously and independently, in the Netherlands, Sweden and Canada, although still with doubts about its application and effectiveness.Initially used only for acute patients, HD became a possible treatment for chronic kidney disease (CKD) thanks to the development of the semi-permanent shunt by Belding Scribner and Wayne Quinton in 1960 and the permanent arteriovenous fistula by Michael J. Brescia and James E. Cimino in 1966. This enabled the life support of millions of people with CKD in the world and the development of kidney transplantation as one more therapeutic alternative.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.278
Teacher spread0.262 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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