MétaCan
Menu
Back to cohort
Record W2590090886 · doi:10.1111/ctr.12940

Adverse symptoms of immunosuppressants: A survey of Canadian transplant clinicians

2017· article· en· W2590090886 on OpenAlexaffabout
Jennifer Harrison, Holly Mansell, Tom Blydt‐Hansen

Bibliographic record

VenueClinical Transplantation · 2017
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsUniversity of SaskatchewanBC Children's HospitalUniversity Health NetworkToronto General HospitalUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsMedicineDiarrheaAdverse effectQuality of life (healthcare)ConstipationNauseaIntensive care medicinePhysical therapyInternal medicineNursing

Abstract

fetched live from OpenAlex

Adverse symptoms of immunosuppressants (ASI) impact quality of life (QOL) in solid organ transplant recipients; however, standardized approaches for active ASI surveillance and intervention are lacking. While management is highly clinician dependent, clinician views remain largely unexplored. We surveyed Canadian Society of Transplantation members on their perceptions of ASI including frequency, perceived QOL impact, causal attribution, management strategies, and success. Sixty-one clinicians participated in the survey of 12 ASI (tremor, diarrhea, nausea, constipation, dyspepsia, insomnia, edema, dyspnea, arthralgia, acne, mouth sores, paresthesias), for a 22% response rate. Forty-nine completed the survey (80% completion rate). Diarrhea, dyspepsia, and insomnia were most frequent, requiring management in ≥ 2% of patients by 96%, 90%, and 82% of respondents, respectively. Diarrhea, insomnia, and dyspnea were deemed to have an important QOL impact by 92%, 82%, and 69%. Immunosuppressants were universally implicated as causative of tremor, diarrhea, acne, and mouth sores. Over 80% reported success in managing mouth sores, dyspepsia, and constipation. Management strategies included adjustment of immunosuppressant or other medications, drug therapy, and nonpharmacologic approaches and varied according to perceived causal attribution. More study is needed to compare clinician and patient views. These results will be used to establish priorities for further investigation of ASI.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.021
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.112
GPT teacher head0.403
Teacher spread0.291 · 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.

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

Citations2
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueClinical TransplantationSame topicRenal Transplantation Outcomes and TreatmentsFrench-language works237,207