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Record W3003447714 · doi:10.1002/da.22997

Childhood maltreatment and clinical severity of treatment‐resistant depression in a French cohort of outpatients (FACE‐DR): One‐year follow‐up

2020· article· en· W3003447714 on OpenAlexaff
Antoine Yrondi, Bruno Aouizerate, Djamila Bennabi, Raphaëlle Richieri, Thierry d’Amato, Frank Bellivier, Thierry Bougerol, Mathilde Horn, Vincent Camus, Philippe Courtet, Olivier Doumy, Jean Baptiste Genty, Jérôme Holtzmann, Christophe Lançon, Marion Leboyer, Pierre‐Michel Llorca, Julia Maruani, Rémi Moirand, Fanny Molière, Ludovic Samalin, Laurent Schmitt, Florian Stéphan, Gustavo Turecki, Guillame Vaiva, Michel Walter, J. Petrucci, Émmanuel Haffen, Wissam El‐Hage

Bibliographic record

VenueDepression and Anxiety · 2020
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
FundersInstitut National de la Santé et de la Recherche MédicaleAssistance Publique - Hôpitaux de ParisAgence Nationale de la Recherche
KeywordsDepression (economics)CohortPsychiatryPoison controlMedicineSuicide preventionInjury preventionTreatment-resistant depressionPsychologyClinical psychologyMedical emergencyMajor depressive disorderInternal medicine

Abstract

fetched live from OpenAlex

Background Childhood maltreatment is associated with major depressive disorder (MDD). It not only increases the risk of lifetime MDD, but it also aggravates its course. Among depressed patients, 20–30% of them experience treatment-resistance depression (TRD). We aimed to assess the association between childhood maltreatment, severity of depression in a unipolar TRD sample, and patient outcomes after one-year of follow-up. Methods Patients were recruited for a prospective cohort from the French network of TRD expert centers. Depressive symptom severity was assessed with the Montgomery–Åsberg Depression Rating Scale (MADRS) and the Quick Inventory of Depressive Symptomatology self-report (QIDS-SR). Childhood maltreatment was evaluated with the Childhood Trauma Questionnaire (CTQ). Results In total, 256 patients filled in the CTQ at baseline between 2012 and 2019. At baseline, the MADRS score was associated with CTQ score (β = .185; p = .004). QIDS was also associated with CTQ scores (β = .27; p < .001). Regarding the different subtypes of childhood maltreatment, MADRS was associated with physical (β = .21; p = .005) and sexual abuse (β = .22; p = .002), while QIDS with physical abuse (β = .304; p < .001) and physical neglect (β = .254; p < .001). However, we did not find any significant association focusing on the other types of traumas. During a 1-year follow-up focusing on remission, CTQ scores (baseline) were less important in remittent patients [n = 38; CTQ score = 39.26 (9.68)] than in nonremittent ones [n = 92; CTQ score = 46.02 (17.53)] (p = .027). There was no significant difference among remitters and nonremitters based on trauma subtypes. At baseline, CTQ scores had a significant influence on remission at 1 year (χ2(1) = 5.57; p < .05). We lost this influence adding MADRS scores at baseline in the model (p = .063). Conclusion We highlighted a significant association between the severity of depressive disorders and childhood maltreatment in the TRD population. Information about a history of childhood maltreatment helps in identifying individuals who could be less likely to go into remission after treatment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.306
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations36
Published2020
Admission routes1
Has abstractyes

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