Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 349

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

Prediction of Tricyclic Antidepressant Response: A Critical Review

Bielski, Robert J.·1976·Archives of General Psychiatry
DOI 10.1001/archpsyc.1976.01770120083009
Open this paper in CoChat — free account

Abstract

This article reviews all the prospective, double-blind controlled studies that have evaluated the prediction of response to imipramine hydrochloride and amitriptyline hydrochloride in depressed patients. Despite widely divergent methodologies, an attempt is made to extract clinically useful conclusions from these data. Critiques of each study and the criteria used in their evaluation are presented, with suggestions for future research included. The predictors of positive response to imipramine and amitriptyline are as follows: upper socioeconomic class, insidious onset, anorexia, weight loss, middle and late insomnia, and psychomotor disturbance. The predictors of poor response are the following: neurotic, hypochondriacal, and hysterical traits, multiple prior episodes, and delusions. Pretreatment urinary 3-methoxy-4-hydroxyphenylglycol (MHPG) levels may some day be useful in predicting to which of these two tricyclic antidepressants a patient will respond.

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 · 10.1001/archpsyc.1976.01770120083009

Cites

55 of 55 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

Show all 55 references

Cited by

See all 349

Metadata

Authors
Bielski, R. J.
Venue
Archives of General Psychiatry
Publisher
American Medical Association (AMA)
Published
1976-12-01
Volume
33
Issue
12
Pages
1479
ISSN
0003-990X (ISSN-L)
DOI
10.1001/archpsyc.1976.01770120083009
OpenAlex
W1973178067
Cited by
349
References
55
FWCI
8.54
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Prediction of Tricyclic Antidepressant Response: A Critical Review. https://app.cochat.ai/papers/10.1001/archpsyc.1976.01770120083009
The paper
Bielski, R. J. (1976). Prediction of Tricyclic Antidepressant Response: A Critical Review. Archives of General Psychiatry. https://doi.org/10.1001/archpsyc.1976.01770120083009

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.