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Record W2547148297 · doi:10.1002/phar.1851

Is the Combination of Piperacillin‐Tazobactam and Vancomycin Associated with Development of Acute Kidney Injury? A Meta‐analysis

2016· review· en· W2547148297 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2016
Typereview
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsnot available
Fundersnot available
KeywordsPiperacillin/tazobactamVancomycinMedicinePiperacillinTazobactamOdds ratioInternal medicineStaphylococcus aureus

Abstract

fetched live from OpenAlex

Study Objective To evaluate the association of the development of acute kidney injury (AKI) when piperacillin‐tazobactam is used in combination with vancomycin compared with vancomycin with or without a β‐lactam. Design Meta‐analysis of 15 observational cohort studies. Patients A total of 3258 adult inpatients who received vancomycin + piperacillin‐tazobactam versus vancomycin alone (10 studies); vancomycin + piperacillin‐tazobactam versus vancomycin + β‐lactam (four studies); or vancomycin + piperacillin‐tazobactam versus vancomycin alone or vancomycin + other antibiotics (one study). Measurements and Main Results The PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, and Cochrane databases, as well as meeting proceedings, were searched (1966–June 1, 2016). Quality of studies was assessed by using the Newcastle‐Ottawa Quality Assessment Scale (NOQAS). The primary outcome of this meta‐analysis was to evaluate the association of development of AKI with the combined use of piperacillin‐tazobactam and vancomycin. A subgroup analysis was also performed that examined the outcome by comparison groups (vancomycin alone or vancomycin + β‐lactam). Sensitivity analysis was performed to explore if the results differed based on removal of abstracts and removal of low‐quality studies (NOQAS scores of 6 or lower). All analyses were performed using the random effects model. NOQAS scores for the 15 studies ranged from 3–7 points (of a total of 9). Overall, there was an association with the development of AKI with vancomycin + piperacillin‐tazobactam compared with vancomycin ± β‐lactam (odds ratio [OR] 3.649, 95% confidence interval [CI] 2.157–6.174; I 2 = 83.5%, p<0.001). The association remained significant when abstracts were removed (OR 3.498, 95% CI 1.747–7.003, I 2 = 82.3%, p<0.001) and when low‐quality studies were removed (OR 4.596, 95% CI 2.929–7.212, I 2 = 0%, p<0.001). The association for the development of AKI with vancomycin + piperacillin‐tazobactam compared with vancomycin alone was significant (OR 3.980, 95% CI 2.749–5.763, I 2 = 31.4%, p<0.001), although the association did not remain significant for the vancomycin + β‐lactam subgroup (OR 3.029, 95% CI 0.942–9.738, I 2 = 82.3%, p=0.063). Conclusion Vancomycin + piperacillin‐tazobactam was associated with an increased risk of AKI compared with vancomycin ± β‐lactam. Practitioners need to be vigilant about this association when prescribing this combination of antibiotics.

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.

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)0.003
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: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.482
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.395
Teacher spread0.342 · 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