Evidence map›Paper›PMID 30155583›Full record

ReviewCurrent psychiatry reports2018

Mental and Addictive Disorders and Medical Comorbidities.

Elizabeth Reisinger Walker, Benjamin G Druss

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Prevalence and Predictors ofFrontiers in psychiatry · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Mental Health of Communities during the COVID-19 Pandemic.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2020
    Article
  11. Article
  12. Associations betweenIranian journal of parasitology
    Article
  13. Article
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

2 authors.

Elizabeth Reisinger WalkerDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, 1518 Clifton Ave, Atlanta, GA, 30322, USA. ereisin@emory.edu.
Benjamin G DrussDepartment of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewMental and addictive disorders commonly co-occur with medical comorbidities, resulting in poor health and functioning, and premature mortality. This review provides an overview of the intertwined causal pathways and shared risk factors that lead to comorbidity. Additionally, this review examines the strategies to prevent the onset of and to effectively manage chronic medical conditions among people with mental and addictive disorders. RECENT

findingsRecent research provides further evidence for the shared genetic and biological, behavioral, and environmental risk factors for comorbidity. Additionally, there is evidence of effective approaches for screening, self-management, and treatment of medical conditions among people with mental disorders. There are promising health system models of integrated care, but additional research is needed to fully establish their effectiveness. A combination of public health and clinical approaches are needed to better understand and address comorbidity between mental and addictive disorders and chronic medical conditions.

Indexed as

Behavior, AddictiveChronic DiseaseComorbidityHumansMental DisordersRisk FactorsSubstance-Related DisordersAddictive disordersChronic diseaseComorbidityMedical disordersMental disorders

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.