Evidence map›Paper›PMID 36043207›Full record

ArticleAffective science2020

Daily Affective Dynamics Predict Depression Symptom Trajectories Among Adults with Major and Minor Depression.

Vanessa Panaite, Jonathan Rottenberg, Lauren M Bylsma

Open access · greenAbstract read
In one paragraph

Article in Affective science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 64 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Vanessa PanaiteResearch and Development Service, James A. Haley Veterans' Hospital, Tampa, FL USA.
Jonathan RottenbergDepartment of Psychology, University of South Florida, Tampa, FL USA.
Lauren M BylsmaDepartment of Psychiatry, University of Pittsburgh, 3811 O'Hara St., Pittsburgh, 15213 PA United States.ORCID 0000-0003-3828-1760
University of South Florida · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affective dynamics have been increasingly recognized as important indicators of emotional health and well-being. Depression has been associated with altered affective dynamics, but little is known about how daily life affective dynamics predict depression's naturalistic course. We investigated positive and negative affective dynamics (e.g., inertia, variability, and instability) among adults with depressive disorders (

Indexed as

Affective dynamicsDepressionDepression severitySymptom trajectory

Identifiers

PMID36043207
PMCPMC9382941
OpenAlexW3090597547

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.