Evidence map›Paper›PMID 25057495›Full record

ReviewBioMed research international2014

The landscape of protein biomarkers proposed for periodontal disease: markers with functional meaning.

Nuno Rosa, Maria José Correia, Joel P Arrais, Nuno Costa, José Luís Oliveira, Marlene Barros

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Oral microbiome and peri-implant diseases: where are we now?Therapeutics and clinical risk management · 2017
    Review
  8. Article
  9. Review
  10. 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

6 authors at 3 institutions in 1 country.

Nuno RosaDepartment of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal.
Maria José CorreiaDepartment of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal.
Joel P ArraisDepartment of Informatics Engineering (DEI), Centre for Informatics and Systems of the University of Coimbra (CISUC), University of Coimbra, 3030-290 Coimbra, Portugal.
Nuno CostaDepartment of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal.
José Luís OliveiraDepartment of Electronics, Telecommunications and Informatics (DETI), Institute of Electronics and Telematics Engineering of Aveiro (IEETA), University of Aveiro, 3810-193 Aveiro, Portugal.
Marlene BarrosDepartment of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal.
Universidade Católica Portuguesa · PTUniversity of Aveiro · PTUniversity of Coimbra · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periodontal disease (PD) is characterized by a deregulated inflammatory response which fails to resolve, activating bone resorption. The identification of the proteomes associated with PD has fuelled biomarker proposals; nevertheless, many questions remain. Biomarker selection should favour molecules representing an event which occurs throughout the disease progress. The analysis of proteome results and the information available for each protein, including its functional role, was accomplished using the OralOme database. The integrated analysis of this information ascertains if the suggested proteins reflect the cell and/or molecular mechanisms underlying the different forms of periodontal disease. The evaluation of the proteins present/absent or with very different concentrations in the proteome of each disease state was used for the identification of the mechanisms shared by different PD variants or specific to such state. The information presented is relevant for the adequate design of biomarker panels for PD. Furthermore, it will open new perspectives and help envisage future studies targeted to unveil the functional role of specific proteins and help clarify the deregulation process in the PD inflammatory response.

Indexed as

BiofilmsBiomarkersBone ResorptionChronic DiseaseDisease ProgressionFibroblastsGingivaGingivitisHumansInflammationMacrophagesMonocytesNeutrophilsPeriodontal DiseasesBiomarkers

Identifiers

PMID25057495
PMCPMC4099050
OpenAlexW2127512817

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.