Evidence map›Paper›PMID 21364832›Full record

ArticleBioinformation2010

Transforming scientific evidence into better consumer choices.

Janet G Bauer, Francesco Chiappelli

Abstract read
In one paragraph

Article in Bioinformation, 2010. 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

2 authors.

Janet G BauerDivision of Restorative Dentistry, June and Paul Ehrlich Endowed Program in Geriatric Dentistry, 23-008E CHS, UCLA School of Dentistry, PO Box 951668, 10833 Le Conte Avenue, Los Angeles, California 90095-1668.
Francesco Chiappelli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translational research using evidence-based and comparative effectiveness research continues to evolve, becoming a useful tool in improving informed consent and decision-making in the clinical setting. While in development, emerging technologies, including cellular and molecular biology, are leading to establishing evidence-based dental practices. One emerging technology, which conjoins bench proteomic findings to clinical decision-making for treatment intervention, is the Translational Evidence Mechanism. This mechanism was developed to be a foundation for a compact between researcher, translational researcher, clinician, and patient. The output of such a mechanism is the clinical practice guideline (CPG), an interactive tool for dentists and patients to game evidence in reaching optimum clinical decisions that correspond to individual patient preferences and values. As such, the clinical practice guideline requires the vesting of decision, utility, and cost best evidence. Evidence-based research provides decision data, a first attempt at supporting decision-making by providing best outcome data. Since then comparative effectiveness research has emerged, using systematic review analysis to compare similar treatments or procedures in maximizing the choice of the most effective cost/benefit option within the context of best evidence. With innovation in the clinical practice guideline for optimizing efficacy and comparative effectiveness research, evidence-based practices will shape a new approach to health-based systems that adhere to shared decision-making between bench scientists, healthcare providers and patients.

Indexed as

clinical decision-makingclinical practice guidelines (CPG's)comparative efficacyeffectiveness researchevidence-based practiceTranslational evidence

Identifiers

PMID21364832
PMCPMC3043351

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.