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Record W4309355557 · doi:10.1002/9781119105954.ch35

Chronic Kidney Disease and Hypertension

2022· other· en· W4309355557 on OpenAlexaff
Branko Braam

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineKidney diseaseAmbulatory blood pressureBlood pressureContext (archaeology)Internal medicineRenal artery stenosisKidneyNephrologyDiseaseAmbulatoryRisk factorVolume overloadCardiologyIntensive care medicineRenal arteryHeart failure

Abstract

fetched live from OpenAlex

Hypertension is not only highly prevalent in patients with chronic kidney disease (CKD), it is also one of the most prevalent causes of progressive kidney injury and end-stage kidney disease. In the context of clinical evaluation of the patient with CKD, four different assessments of blood pressure (BP) are being used: in-office manual, multiple in-office automated, home, and ambulatory measurements. Volume overload is the consequence of a too excessive sodium intake and the impaired ability of the kidney to excrete sodium at normal arterial pressures. Renal artery stenosis also leads to diagnostic and therapeutic dilemmas. There are numerous studies in the literature about weight loss and its effects on BP, whether by dietary or pharmacological intervention or by bariatric surgery. Hypertension is not only prevalent in patients with CKD, it is also a key factor to control cardiovascular events in patients with CKD and to prevent progression of CKD itself.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.002

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 head0.023
GPT teacher head0.251
Teacher spread0.228 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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