Evidence map›Paper›PMID 42028372›Full record

ArticleInternational journal of clinical and health psychology : IJCHP

Psychometric properties of ADHD screening and diagnostic tools in patients with severe substance use disorders.

Norman Therribout, Lucia Romo, Thibault Hennequin, Clara Chrétienneau, Lucie Davost, Tatiana Fontaine, Frank Bellivier, Florence Vorspan, Alexandra Dereux, Emily Karsinti and 1 more

Abstract read
In one paragraph

Article in International journal of clinical and health psychology : IJCHP. 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

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

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

11 authors.

Norman TherriboutAssistance Publique - Hôpitaux de Paris, Hôpital Fernand-Widal, Département Universitaire de Psychiatrie et de Médecine Addictologique, Paris, France.
Lucia RomoLaboratoire Clipsyd EA 4430, Université Paris-Nanterre, Nanterre, France.
Thibault HennequinLaboratoire Clipsyd EA 4430, Université Paris-Nanterre, Nanterre, France.
Clara ChrétienneauAssistance Publique - Hôpitaux de Paris, Hôpital Fernand-Widal, Département Universitaire de Psychiatrie et de Médecine Addictologique, Paris, France.
Lucie DavostAssistance Publique - Hôpitaux de Paris, Hôpital Fernand-Widal, Département Universitaire de Psychiatrie et de Médecine Addictologique, Paris, France.
Tatiana FontaineLaboratoire Clipsyd EA 4430, Université Paris-Nanterre, Nanterre, France.
Frank BellivierAssistance Publique - Hôpitaux de Paris, Hôpital Fernand-Widal, Département Universitaire de Psychiatrie et de Médecine Addictologique, Paris, France.
Florence VorspanAssistance Publique - Hôpitaux de Paris, Hôpital Fernand-Widal, Département Universitaire de Psychiatrie et de Médecine Addictologique, Paris, France.
Alexandra DereuxAssistance Publique - Hôpitaux de Paris, Hôpital Fernand-Widal, Département Universitaire de Psychiatrie et de Médecine Addictologique, Paris, France.
Emily KarsintiAssistance Publique - Hôpitaux de Paris, Hôpital Fernand-Widal, Département Universitaire de Psychiatrie et de Médecine Addictologique, Paris, France.
Romain IcickAssistance Publique - Hôpitaux de Paris, Hôpital Fernand-Widal, Département Universitaire de Psychiatrie et de Médecine Addictologique, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to compare the performance of several tools for diagnosing ADHD in an adult population suffering from SUD, within a multi-tool diagnostic procedure. Method: Eighty-two patients suffering from SUD and suspected of ADHD were referred to undergo the procedure. They were asked to complete two questionnaires: the Adult Self Report Scale (ASRS-6) and the Wender Utah Rating Scale (WURS-25) and three interviews: the Mini International Neuropsychiatric Interview (MINI-S), the Dual Diagnosis Screening Interview (DDSI) and the Diagnostich Interview Voor ADHD (DIVA-5). Their performance was compared to a consensus statement provided by trained psychiatrists and psychologists informed by all the assessments. Results: All the tools showed good sensitivity (0.81-0.98), but only the DIVA-5 showed good specificity (0.88). Accordingly, the negative predictive value calculated for an assumed prevalence of ADHD of 23 % was high for all tools (0.88 - 0.99) whereas only the DIVA-5 showed a good positive predictive value (0.71). Conclusion: The ASRS, the WURS, the MINI and the DDSI are thus useful screening tools among SUD patients, but the DIVA-5 seems to provide the most accurate information to ascertain ADHD diagnosis in this population. Further investigations are needed to assess the impact of prior standardized comorbidity evaluations on the accuracy of DIVA-5.

Indexed as

Attention deficit hyperactivity disorderDiagnosisDIVAEvaluationSubstance use disorder

Identifiers

PMID42028372
PMCPMC13099338

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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.