Evidence map›Paper›PMID 22460999›Full record

ArticleClinical cases in mineral and bone metabolism : the official journal of the Italian Society of Osteoporosis, Mineral Metabolism, and Skeletal Diseases2008

Genetic tests and genomic biomarkers: regulation, qualification and validation.

Giuseppe Novelli, Cinzia Ciccacci, Paola Borgiani, Marisa Papaluca Amati, Eric Abadie

Abstract read
In one paragraph

Article in Clinical cases in mineral and bone metabolism : the official journal of the Italian Society of Osteoporosis, Mineral Metabolism, and Skeletal Diseases, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Molecular Alterations in Gastric Intestinal Metaplasia.International journal of molecular sciences · 2021
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  17. What is genomic medicine?Journal of the Medical Library Association : JMLA · 2019
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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

5 authors.

Giuseppe NovelliDepartment of Biopathology and Diagnostic Imaging, Tor Vergata University of Rome, Rome, Italy.
Cinzia Ciccacci
Paola Borgiani
Marisa Papaluca Amati
Eric Abadie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of new risk factors for specific diseases is an enduring theme in medical research. Advances in molecular biology, genetics, and computational biology are accelerating the pace of this work. The research seeks to increase our understanding of the causes of diseases, but there is also hope that the recognition of new risk factors will lead to improved methods for identifying persons who are in the early stages of, or at high risk for, the diseases of concern. Research has shown, however, that a genomic biomarker must have a much stronger association with the disease outcome than we ordinarily see in etiologic research if it is to provide a basis for early diagnosis or prediction in individual patients. However, even if the literature contains ~150,000 reports of disease-associated molecular markers, there are still very few validated biomarkers of proven and robust clinical utility. At present there is no established, standardized means for validating the association between a marker (or set of markers) and clinical outcomes. The Regulatory Authorities have undertaken a number of initiatives in order to enhance the use of biomarkers in drug development, to promote a more informed drug development and maximise the benefit of innovative medicines to the patients.

Identifiers

PMID22460999
PMCPMC2781197

What OpenQuestion holds

Textmetadata
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.