Evidence map›Paper›PMID 39440237›Full record

ArticleJournal of applied statistics2024

A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests.

Kanae Takahashi, Kouji Yamamoto, Ayumi Shintani

Abstract read
In one paragraph

Article in Journal of applied statistics, 2024. 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

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.

Kanae TakahashiDepartment of Biostatistics, Hyogo Medical University, Nishinomiya, Japan.ORCID https://orcid.org/0000-0002-7745-2342
Kouji YamamotoDepartment of Biostatistics, School of Medicine, Yokohama City University, Yokohama, Japan.ORCID https://orcid.org/0000-0003-0696-9659
Ayumi ShintaniDepartment of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Positive and negative predictive values are useful to quantify the performance of medical tests, and both are often used simultaneously. Although there are several methods to test the equality of these predictive values between two medical tests, these approaches separately compare positive and negative predictive values. Therefore, we propose a testing procedure that combines the approximate likelihood ratio test defined by Tang

Indexed as

Negative predictive valuenon-inferioritypaired designpositive predictive valuesuperiority

Identifiers

PMID39440237
PMCPMC11492406

What OpenQuestion holds

Textmetadata
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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.