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Record W4220983498 · doi:10.1111/ejh.13762

Systematic review of hematuria and acute renal failure with tranexamic acid

2022· review· en· W4220983498 on OpenAlexaff
Stephanie G. Lee, John Fralick, Christopher J.D. Wallis, Monica Boctor, Michelle Sholzberg, Michael Fralick

Bibliographic record

VenueEuropean Journal Of Haematology · 2022
Typereview
Languageen
FieldMedicine
TopicPediatric Urology and Nephrology Studies
Canadian institutionsSinai Health SystemMount Sinai HospitalFoothills Medical CentreUniversity of TorontoUniversity of CalgarySt. Michael's Hospital
Fundersnot available
KeywordsMedicineTranexamic acidRandomized controlled trialUrinary systemSurgeryPlaceboRenal functionInternal medicineUrologyPathology

Abstract

fetched live from OpenAlex

OBJECTIVES: To conduct a systematic review of tranexamic acid (TXA) and the risk of renal failure from urinary clots in adult patients with hematuria. METHODS: A systematic review of Medline, Embase, CENTRAL, www. CLINICALTRIALS: gov, and Google Scholar were searched. Randomized control trials (RCTs) and observational studies that assessed the risk of renal failure with use of TXA among adults with hematuria were included. The primary outcome was renal failure due to urinary tract clots with TXA compared to no TXA (or placebo) or comparator. RESULTS: We identified three RCTs (N = 466 patients) and three retrospective cohort studies (N=220 patients), and a total of 342 patients that had hematuria and received TXA. The patient population of the six studies included medical and surgical patients, with two of the three RCTs comprised patients undergoing percutaneous nephrolithotomy, and the third RCT comprised patients undergoing transurethral resection of the prostate. Documentation of renal function before and after TXA administration was documented in only two studies (N = 28 patients), and neither identified worsening renal function in those exposed to TXA. CONCLUSIONS: There are limited studies evaluating the risk of renal failure in patients with hematuria who were exposed to TXA, and the available data does not suggest an increased risk.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.281
Teacher spread0.260 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations20
Published2022
Admission routes1
Has abstractyes

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