Evidence map›Paper›PMID 31636491›Full record

ArticleDialogues in clinical neuroscience2019

How evolutionary psychiatry can advance psychopharmacology
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Randolph M Nesse, Dan J Stein

Open access · diamondAbstract read
In one paragraph

Article in Dialogues in clinical neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Evolutionary psychiatry: foundations, progress and challenges.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023
    Article
  2. Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022
    Article
  3. Review
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 at 2 institutions in 2 countries.

Randolph M NesseCenter for Evolutionary Medicine, Arizona State University, Tempe, Arizona, USA.
Dan J SteinSAMRC Unit on Risk Resilience in Mental Disorders, Dept of Psychiatry; Neuroscience Institute, University of Cape Town, South Africa.
Arizona State University · USUniversity of Cape Town · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevailing paradigm for psychopharmacology focuses on understanding brain mechanisms as the key to finding new medications and improving clinical outcomes, but frustration with slow progress has inspired many pleas for new approaches. Evolutionary psychiatry brings in an additional basic science that poses new questions about why natural selection left us vulnerable to so many mental disorders, and new insights about how drugs work. The integration of neuroscience with evolutionary psychiatry is synergistic, going beyond reductionism to provide a model like the one used by the rest of medicine. It recognizes negative emotions as symptoms, that are, like pain and cough, useful defenses whose presence should initiate a search for causes. An integrative evolutionary approach explains why agents that block useful aversive responses are usually safe, and how to anticipate when they may cause harm. More generally, an evolutionary framework suggests novel practical strategies for finding and testing new drugs.
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Indexed as

Biological EvolutionBiological PsychiatryBrainHumansInterdisciplinary ResearchMental DisordersPsychopharmacologySelection, Geneticevolutionevolutionary medicinenatural selectionpsychopharmacology

Identifiers

PMID31636491
PMCPMC6787543
OpenAlexW2995080460

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.