Evidence map›Paper›PMID 33694316›Full record

Observational studyPharmacology research & perspectives2021

Augmented renal clearance in critically ill patients with cancer (ARCCAN Study): A prospective observational study evaluating prevalence and risk factors.

Lama H Nazer, Aseel K AbuSara, Yasmeen Kamal

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Pharmacology research & perspectives, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Augmented renal clearance in neurocritical patients: An epidemiological investigation and risk-factor analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Lama H NazerDepartment of Pharmacy, King Hussein Cancer Center, Amman, Jordan.ORCID 0000-0002-7550-4751
Aseel K AbuSaraDepartment of Pharmacy, King Hussein Cancer Center, Amman, Jordan.
Yasmeen KamalDepartment of Pharmacy, King Hussein Cancer Center, Amman, Jordan.
King Hussein Cancer Center · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Augmented renal clearance (ARC) is a phenomenon that has been associated with enhanced excretion of renally eliminated drugs, such as antimicrobials, which may result in subtherapeutic levels and potentially therapeutic failure. There has been limited data on ARC in critically ill patients with cancer. This study aimed to evaluate the prevalence of ARC and to identify risk factors associated with ARC in this patient population. This was a prospective study at an oncologic intensive care unit (ICU) which included adult patients with normal renal function, defined as serum creatinine ≤1 mg/dl and urine output >0.5 ml/kg/hr. The 24-hour creatinine clearance (ClCr) study was used to determine ClCr, starting on day 1 of ICU admission, for 5 days or until ICU transfer or death. ARC was defined as ClCr >130 ml/min/1.73 m

Indexed as

Glomerular Filtration RateRenal EliminationAdultAgedAntineoplastic AgentsCritical IllnessDose-Response Relationship, DrugFemaleHumansKidney Function TestsMaleMiddle AgedNeoplasmsProspective StudiesAntineoplastic Agentsaugmented renal clearancecancercritical illnessICUoncology

Identifiers

PMID33694316
PMCPMC7947216
OpenAlexW3135306656

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.