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Record W2914928632 · doi:10.1017/ice.2019.11

Oseltamivir for prophylaxis of influenza in vaccinated hemodialysis patients

2019· letter· en· W2914928632 on OpenAlexaboutno aff
Jens Van Praet, Sanne Steyaert, Mirjam Demesmaecker, Veerle Grootaert, Marijke Reynders

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2019
Typeletter
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOseltamivirMedicineHemodialysisVirologyCoronavirus disease 2019 (COVID-19)Internal medicine

Abstract

fetched live from OpenAlex

manufacturer's instructions (Table 1).Our results show an antibiotic resistance profile similar to those previously observed in Canada with their local M. saskatchewanense strains.6 Some differences were also noted; for example, the MIC for rifampicin for all Canadian strains is 0.06 μg/mL, whereas our strain displayed a value of 8 μg/mL for the same antibiotic (Table 1).Although we cannot exclude the possibility that the differences observed may be due to the use of different assays, they may also indicate that the Italian M. saskatchewanense has either undergone mutations since it left North America or that its origin lies elsewhere.However, no epidemiological data about this NTM are currently available, and we can only speculate about whether it derives from the North American strains or from some other geographical location.To the best of our knowledge, we report for the first time the detection of a M. saskatchewanense clinical isolate in a European health facility.Our results highlight the fact that screening assays for TB detection in blood can produce misleading results and could lead to incorrect antimicrobial therapy.Careful evaluation for mycobacterial infection must be performed, and the organism must be identified and coupled with highly discriminating techniques such as NGS, as necessary.

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)0.000
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0150.010

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 head0.046
GPT teacher head0.356
Teacher spread0.310 · 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
GenreCommentary

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

Citations1
Published2019
Admission routes1
Has abstractyes

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