Evidence map›Paper›PMID 38927966›Full record

ArticleCancers2024

Identification of Alcohol Use Prior to Major Cancer Surgery: Timeline Follow Back Interview Compared to Four Other Markers.

Johanna Nicklasson, Moa Sjödell, Hanne Tønnesen, Susanne Vahr Lauridsen, Mette Rasmussen

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Trial
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

5 authors.

Johanna NicklassonDepartment of Health Sciences, Faculty of Medicine, Lund University, 22100 Lund, Sweden.ORCID 0009-0009-1651-3752
Moa SjödellDepartment of Health Sciences, Faculty of Medicine, Lund University, 22100 Lund, Sweden.
Hanne TønnesenDepartment of Health Sciences, Faculty of Medicine, Lund University, 22100 Lund, Sweden.ORCID 0000-0002-7161-3416
Susanne Vahr LauridsenWHO Collaborating Centre for Evidence-Based Clinical Health Promotion, The Parker Institute, Bispebjerg-Frederiksberg Hospital, University of Copenhagen, 2000 Copenhagen, Denmark.ORCID 0000-0001-6045-4723
Mette RasmussenNational Institute of Public Health, University of Southern Denmark, 1455 Copenhagen, Denmark.ORCID 0000-0003-2847-1544

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe postoperative complication rate is 30-64% among patients undergoing muscle-invasive and recurrent high-risk non-muscle-invasive bladder cancer surgery. Preoperative risky alcohol use increases the risk. The aim was to evaluate the accuracy of markers for identifying preoperative risky alcohol.

methodsDiagnostic test sub-study of a randomized controlled trial (STOP-OP trial), based on a cohort of 94 patients scheduled for major bladder cancer surgery. Identification of risky alcohol use using Timeline Follow Back interviews (TLFB) were compared to the AUDIT-C questionnaire and three biomarkers: carbohydrate-deficient transferrin in plasma (P-CDT), phosphatidyl-ethanol in blood (B-PEth), and ethyl glucuronide in urine (U-EtG).

resultsThe correlation between TLFB and AUDIT-C was strong (ρ = 0.75), while it was moderate between TLFB and the biomarkers (ρ = 0.55-0.65). Overall, sensitivity ranged from 56 to 82% and specificity from 38 to 100%. B-PEth showed the lowest sensitivity at 56%, but the highest specificity of 100%. All tests had high positive predictive values (79-100%), but low negative predictive values (42-55%).

conclusionsDespite high positive predictive values, negative predictive values were weak compared to TLFB. For now, TLFB interviews seem preferable for preoperative identification of risky alcohol use.

Indexed as

alcohol drinkingAUDIT–Cbiomarkerscancer surgeryCDTdiagnosticEtGPEthtest performanceTimeline Follow Back

Identifiers

PMID38927966
PMCPMC11202089

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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.