Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 468

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Talk is cheap: measuring drinking outcomes in clinical trials.

Babor, T F, Steinberg, K, Anton, R, Del Boca, F·2000·Journal of Studies on Alcohol

Abstract

OBJECTIVE: To evaluate the correspondence among measures of self-reported drinking, standard biological indicators and the reports of collateral informants, and to identify patient characteristics associated with observed discrepancies among these three sources of research data. METHOD: Using data collected from a large-scale clinical trial of treatment matching with alcoholics (N = 1,726), these three alternative outcome measures were compared at the time of admission to treatment and at 12 months after the end of treatment. RESULTS: Patient self-reports and collateral reports agreed most (97.1%) at treatment admission when heavy drinking was unlikely to be denied. In contrast, liver function tests were relatively insensitive, with positive serum gamma-glutamyl transpeptidase (GGTP) values obtained from only 39.7% of those who admitted to heavy drinking. At 15-month follow-up the correspondence between client self-report and collateral report decreased to 84.7%, but agreement with blood chemistry values increased to 51.6%. When discrepancies occurred, they still indicated that the client' s self-report is more sensitive to the amount of drinking than the biochemical measures. Patients who presented discrepant results tended to have more severe drinking problems, more previous treatments, higher levels of pretreatment drinking and significantly greater levels of cognitive impairment, all of which could potentially interfere with accurate recall. CONCLUSIONS: In clinical trials using self-selected research volunteers, biochemical tests and collateral informant reports do not add sufficiently to self-report measurement accuracy to warrant their routine use. Resources devoted to collecting these alternative sources of outcome data might be better invested in interview procedures designed to increase the validity of self-report information.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.15288/jsa.2000.61.55

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 468

Metadata

Authors
Babor, T. F., Steinberg, K., Anton, R., & Del Boca, F.
Venue
Journal of Studies on Alcohol
Published
2000-01
Volume
61
Issue
1
Pages
55-63
ISSN
  • 0096-882X (ISSN-L)
  • 1934-2683
OpenAlex
W2114866619
Cited by
468
References
3
FWCI
10.30
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.