Evidence map›Paper›PMID 27873024›Full record

SynthesisWiener klinische Wochenschrift2016

P4 medicine and osteoporosis: a systematic review.

Klemen Kodrič, Klemen Čamernik, Darko Černe, Radko Komadina, Janja Marc

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Wiener klinische Wochenschrift, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. MiR-214 regulates fracture healing through inhibiting Sox4 and its mechanism.Journal of musculoskeletal & neuronal interactions · 2020
    Article
  4. Review
  5. 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

5 authors at 1 institution in 1 country.

Klemen KodričDepartment of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Askerceva cesta 7, 1000, Ljubljana, Slovenia.
Klemen ČamernikDepartment of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Askerceva cesta 7, 1000, Ljubljana, Slovenia.
Darko ČerneDepartment of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Askerceva cesta 7, 1000, Ljubljana, Slovenia.
Radko KomadinaGeneral and Teaching Hospital Celje, Celje, Slovenia.
Janja MarcDepartment of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Askerceva cesta 7, 1000, Ljubljana, Slovenia. janja.marc@ffa.uni-lj.si.
University of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoporosis is the most frequent bone metabolic disease. In order to improve early detection, prediction, prevention, diagnosis, and treatment of the disease, a new model of P4 medicine (personalized, predictive, preventive, and participatory medicine) could be applied. The aim of this work was to systematically review the publications of four different types of "omics" studies related to osteoporosis, in order to discover novel predictive, preventive, diagnostic, and therapeutic targets for better management of the geriatric population.

methodsTo systematically search the PubMed database, we created specific groups of criteria for four different types of "omics" information on osteoporosis: genomic, transcriptomic, proteomic, and metabolomic. We then analyzed the intersections between them in order to find correlations and common pathways or molecules with important roles in osteoporosis, and with a potential application in disease prediction, prevention, diagnosis, or treatment.

resultsAltogether, 180 publications of "omics" studies in the field of osteoporosis were found and reviewed at first selection. After introducing the inclusion and exclusion criteria (the secondary selection), 46 papers were included in the systematic review.

conclusionsThe intersection of reviewed papers identified five genes (ESR1, IBSP, CTNNB1, SOX4, and IDUA) and processes like the Wnt pathway, JAK/STAT signaling, and ERK/MAPK, which should be further validated for their predictive, diagnostic, or other clinical value in osteoporosis. Such molecular insights will enable us to fit osteoporosis into the P4 strategy and could increase the effectiveness of disease prediction and prevention, with a decrease in morbidity in the geriatric population.

Indexed as

AgedAged, 80 and overFemaleGenetic MarkersGenetic Predisposition to DiseaseGenetic TestingGeriatric AssessmentHumansMaleOsteoporosisPrecision MedicinePrevalenceRisk FactorsGenetic MarkersGeriatricsOmicsOsteoporosis biomarkersPersonalized medicineSystems biology

Identifiers

PMID27873024
OpenAlexW2553956907

What Socratic 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 Socratic graph.