Evidence map›Paper›PMID 35587518›Full record

ArticleBrain and behavior2022

Maternal major depression disorder misclassification errors: Remedies for valid individual- and population-level inference.

Arthur H Owora

Abstract read
In one paragraph

Article in Brain and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Arthur H OworaDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, Indiana.ORCID 0000-0002-4580-7428

Funding

Leveraging Infrastructure to train investigators in patient centered outcomes research in the learning health system (LITI-PCORLHS)K12HS026390 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI CARROLL, AARON E., EMBI, PETER J. · 2018 to 2022
$3.4M
AHRQ HHS K12 HS026390
6 · The paper itself

Abstract

Individual and population level inference about risk and burden of MDD, particularly maternal MDD, is often made using case-finding tools that are imperfect and prone to misclassification error (i.e. false positives and negatives). These errors or biases are rarely accounted for and lead to inappropriate clinical decisions, inefficient allocation of scarce resources, and poor planning of maternal MDD prevention and treatment interventions. The argument that the use of existing maternal MDD case-finding instruments results in misclassification errors is not new; in fact, it has been argued for decades, but by and large its implications and particularly how to correct for these errors for valid inference is unexplored. Correction of the estimates of maternal MDD prevalence, case-finding tool sensitivity and specificity is possible and should be done to inform valid individual and population-level inferences.

Indexed as

Major Depressive DisorderDepressionFamilyHumansPrevalenceSensitivity and Specificityinferencematernal MDDMDD case-finding toolsmisclassification error

Identifiers

PMID35587518
PMCPMC9226807

What OpenQuestion holds

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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.