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Record W2135563962 · doi:10.1093/ndt/gfm258

Is abdominal surgery still a contraindication for peritoneal dialysis?

2007· article· en· W2135563962 on OpenAlexaboutno aff
R. Palomar, Victoria González-Martín, L. Martin, Pedro Morales, A. L. Martin de Francisco, M. Arias

Bibliographic record

VenueNephrology Dialysis Transplantation · 2007
Typearticle
Languageen
FieldMedicine
TopicInfectious Aortic and Vascular Conditions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineContraindicationPeritoneal dialysisSurgeryGeneral surgeryPathology

Abstract

fetched live from OpenAlex

Peritoneal Dialysis (PD) is considered an underutilized modality of renal replacement treatment (RRT) in our media if we compare with other countries as Canada [1], with an incidence that has reached a plateau in the last years (Figure 1). In the 2005 Spanish Registry only 14% started RRT with PD, with a reported prevalence in the technique of about 6%. Both the incidence and prevalence of PD patients vary between different regions, depending on their experience and availability. We observe that in some areas as Cantabria o La Rioja the incidence is higher than 20% while in others as Aragón it is almost nonexistent (Figure 2). We must consider that there are some well-defined indications and contraindications for PD that determine its use [2,3]. Many patients are not given the chance to choose the RRT as far as PD is concerned, since some renal units apply this indication too restrictively. A history of previous abdominal surgery is responsible for most of the patients’ refusal. If there is careful selection of the potential PD by the patients, the probabilities of failure decrease considerably.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.017
GPT teacher head0.287
Teacher spread0.269 · 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 designObservational
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

Citations8
Published2007
Admission routes1
Has abstractyes

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