Evidence map›Paper›PMID 35509212›Full record

ArticleStatistical methods in medical research2022

Estimating and testing the influence of early diagnosis on cancer survival via point effects of diagnoses and treatments.

Xiaoqin Wang, Johannes Blom, Weimin Ye, Li Yin

Abstract read
In one paragraph

Article in Statistical methods in medical research, 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. 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

4 authors.

Xiaoqin WangDepartment of Electrical Engineering, Mathematics, and Science, University of Gävle, Sweden.
Johannes BlomDepartment of Clinical Science and Education, Södersjukhuset, 27106Karolinska Institutet, Stockholm, Sweden.
Weimin YeDepartment of Medical Epidemiology and Biostatistics, 27106Karolinska Institutet, Sweden.
Li YinDepartment of Medical Epidemiology and Biostatistics, 27106Karolinska Institutet, Sweden.ORCID 0000-0003-0410-8513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cancer diagnosis is part of a complex stochastic process, which involves patient's characteristics, diagnosing methods, an initial assessment of cancer progression, treatments and a certain outcome of interest. To evaluate the performance of diagnoses, one needs not only a consistent estimation of the causal effect under a specified regime of diagnoses and treatments but also reliable confidence interval,

Indexed as

Early Detection of CancerNeoplasmsCausalityHumansPrognosisResearch DesignTreatment OutcomeBlip effectcancer diagnosiscausal effectG-formulapoint effecttreatment regime

Identifiers

PMID35509212
PMCPMC9315175

What OpenQuestion holds

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LicenceCC BY
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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.