Evidence map›Paper›PMID 29022563›Full record

ArticleJournal of postgraduate medicine

Statistical medicine: An emerging medical specialty.

A Indrayan

Abstract read
In one paragraph

Article in Journal of postgraduate medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Personalized statistical medicine.The Indian journal of medical research · 2023
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

A IndrayanFormer Professor & Head, Department of Biostatistics and Medical Informatics, University College of Medical Sciences, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of statistical tools are now used for medical decision in the core activities of diagnosis, treatment and prognosis. These tools provide undeniable help in improving medical outcomes. Prominent among them are uncertainty measurement by probability, medical indicators and indexes, reference ranges, and scoring systems. In addition are tools such as odds ratio, sensitivity, specificity and predictivities, area under the ROC curve, likelihood ratios, and cost-benefit analysis that are commonly applied in medical research but have implications for day-to-day clinical activities. These tools have so completely integrated into medical practice that statistical medicine by itself can stand alone as a medical specialty. Time has arrived to recognize statistical medicine as a medical specialty.

Indexed as

Biomedical ResearchStatistics as TopicBiostatisticsHumans

Identifiers

PMID29022563
PMCPMC5664870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.