Evidence map›Paper›PMID 24655597›Full record

ArticleBiological psychiatry2015

Reply to: the liptak-stouffer test for meta-analyses.

Amy L Byrd, Aidan G C Wright, Srijan Sen, Kerby Shedden, Stephen B Manuck

Abstract readLetterComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Biological psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Amy L ByrdDepartment of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: alb202@pitt.edu.
Aidan G C WrightDepartment of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Srijan SenDepartment of Psychiatry.
Kerby SheddenDepartment of Statistics, University of Michigan, Ann Arbor, Michigan.
Stephen B ManuckDepartment of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

Mobile Technology to Identify Behavorial Mechanisms Linking Genetic Variation and DepressionR01MH101459 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEN, SRIJAN · 2013 to 2023
$6.4M
Utilizing Medical Internship to Identify Genetic Variation Associated with DepresK23MH095109 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEN, SRIJAN · 2011 to 2014
$729k
NIMH NIH HHS K23 MH095109NIMH NIH HHS R01 MH101459
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AllelesLife Change EventsDepressive DisorderGenetic VariationHumansPolymorphism, GeneticSerotonin Plasma Membrane Transport ProteinsSerotonin Plasma Membrane Transport Proteins

Identifiers

PMID24655597
PMCPMC4300519

What OpenQuestion holds

Textmetadata
LicenceTDM
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.