Evidence map›Paper›PMID 40786620›Full record

ArticleCognitive and behavioral practice2024

Adapting Cognitive Behavioral Therapy for Depression After Traumatic Brain Injury: A Case Study.

Lauren B Fisher, Andrew J Curreri, Sunday Hull, Maren B Nyer, Rose Luehrs, Ross Zafonte, Paola Pedrelli

Abstract read
In one paragraph

Article in Cognitive and behavioral practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Lauren B FisherMassachusetts General Hospital and Harvard Medical School.
Andrew J CurreriIcahn School of Medicine at Mount Sinai.
Sunday HullSylvie Tuchman, Doga Cetinkaya, Massachusetts General Hospital.
Maren B NyerMassachusetts General Hospital and Harvard Medical School.
Rose LuehrsSuffolk University.
Ross ZafonteHarvard Medical School, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, and Brigham and Women's Hospital, and Red Sox Foundation and Massachusetts General Hospital Home Base Program.
Paola PedrelliMassachusetts General Hospital and Harvard Medical School.

Funding

Adapted Cognitive Behavioral Treatment for Depression in Patients with Moderate to Severe Traumatic Brain InjuryK23HD087464 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI FISHER, LAUREN BETH · 2017 to 2021
$867k
NICHD NIH HHS K23 HD087464
6 · The paper itself

Abstract

This case study describes a cognitive-behavioral treatment for depression adapted for individuals with traumatic brain injury (CBT-TBI) and provides a case description of a patient who experienced meaningful symptom reduction. CBT-TBI includes several adaptations to traditional CBT for depression structure, content and process aimed at meeting the unique needs of individuals with TBI sequelae. The patient, a single, White, college-educated, cisgender female in her late 30s who sustained a complicated mild TBI and endorsed symptoms of depression, anxiety, and persistent post-concussive symptoms, completed 12 individual, in-person sessions of CBT-TBI in the context of a randomized, waitlist-controlled trial. Clinician and self-rated measures, as well as neuropsychological assessments, were completed at baseline and posttreatment, and depressive symptoms were assessed weekly by self-report (Beck Depression Inventory-II). Symptom improvement was analyzed using the Reliable Change Index (RCI) and demonstrated a clinically significant reduction in depression and anxiety symptoms, as well as improvement in coping abilities and adaptive thinking. In addition to the adapted content of the intervention, this case example highlights the importance of therapist flexibility, continual assessment, collaboration, and elicitation of feedback in the delivery of CBT for depression for individuals with TBI.

Indexed as

cognitive behavioral therapydepressiontraumatic brain injury

Identifiers

PMID40786620
PMCPMC12331015

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Registered trials

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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.