Evidence map›Paper›PMID 27254091›Full record

ReviewCanadian journal of psychiatry. Revue canadienne de psychiatrie2016

Using Evolutionary Theory to Guide Mental Health Research.

Zachary Durisko, Benoit H Mulsant, Kwame McKenzie, Paul W Andrews

Abstract readReview
In one paragraph

Review in Canadian journal of psychiatry. Revue canadienne de psychiatrie, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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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

4 authors.

Zachary DuriskoCentre for Addiction and Mental Health (CAMH), Toronto, Ontario Evolutionary Ecology of Health Research Laboratories, Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario duriskzt@mcmaster.ca.
Benoit H MulsantCentre for Addiction and Mental Health (CAMH), Toronto, Ontario Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario.
Kwame McKenzieCentre for Addiction and Mental Health (CAMH), Toronto, Ontario Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario Wellesley Institute, Toronto, Ontario.
Paul W AndrewsEvolutionary Ecology of Health Research Laboratories, Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary approaches to medicine can shed light on the origins and etiology of disease. Such an approach may be especially useful in psychiatry, which frequently addresses conditions with heterogeneous presentation and unknown causes. We review several previous applications of evolutionary theory that highlight the ways in which psychiatric conditions may persist despite and because of natural selection. One lesson from the evolutionary approach is that some conditions currently classified as disorders (because they cause distress and impairment) may actually be caused by functioning adaptations operating "normally" (as designed by natural selection). Such conditions suggest an alternative illness model that may generate alternative intervention strategies. Thus, the evolutionary approach suggests that psychiatry should sometimes think differently about distress and impairment. The complexity of the human brain, including normal functioning and potential for dysfunctions, has developed over evolutionary time and has been shaped by natural selection. Understanding the evolutionary origins of psychiatric conditions is therefore a crucial component to a complete understanding of etiology.

Indexed as

Biological EvolutionBiomedical ResearchMental DisordersPsychiatryHumansevolutionevolutionary medicineevolutionary psychiatry

Identifiers

PMID27254091
PMCPMC4813423

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.