Evidence map›Paper›PMID 34539937›Full record

ArticleThe EPMA journal2021

All around suboptimal health - a joint position paper of the Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine.

Wei Wang, Yuxiang Yan, Zheng Guo, Haifeng Hou, Monique Garcia, Xuerui Tan, Enoch Odame Anto, Gehendra Mahara, Yulu Zheng, Bo Li and 6 more

Abstract read
In one paragraph

Article in The EPMA journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 2 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

93 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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33 more citing papers are in PubMed but not listed here.

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

16 authors.

Wei WangCentre for Precision Health, Edith Cowan University, Perth, Australia.
Yuxiang YanBeijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
Zheng GuoCentre for Precision Health, Edith Cowan University, Perth, Australia.
Haifeng HouCentre for Precision Health, Edith Cowan University, Perth, Australia.
Monique GarciaCentre for Precision Health, Edith Cowan University, Perth, Australia.
Xuerui TanFirst Affiliated Hospital, Shantou University Medical College, Shantou, China.
Enoch Odame AntoCentre for Precision Health, Edith Cowan University, Perth, Australia.
Gehendra MaharaFirst Affiliated Hospital, Shantou University Medical College, Shantou, China.
Yulu ZhengCentre for Precision Health, Edith Cowan University, Perth, Australia.
Bo LiSuboptimal Health Study Consortium, Kumasi, Ghana.
Timothy KangSuboptimal Health Study Consortium, Kumasi, Ghana.
Zhaohua ZhongSuboptimal Health Study Consortium, Kumasi, Ghana.
Youxin WangCentre for Precision Health, Edith Cowan University, Perth, Australia.
Xiuhua GuoBeijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
Olga GolubnitschajaSuboptimal Health Study Consortium, Kumasi, Ghana.
Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

First two decades of the twenty-first century are characterised by epidemics of non-communicable diseases such as many hundreds of millions of patients diagnosed with cardiovascular diseases and the type 2 diabetes mellitus, breast, lung, liver and prostate malignancies, neurological, sleep, mood and eye disorders, amongst others. Consequent socio-economic burden is tremendous. Unprecedented decrease in age of maladaptive individuals has been reported. The absolute majority of expanding non-communicable disorders carry a chronic character, over a couple of years progressing from reversible suboptimal health conditions to irreversible severe pathologies and cascading collateral complications. The time-frame between onset of SHS and clinical manifestation of associated disorders is the operational area for an application of reliable risk assessment tools and predictive diagnostics followed by the cost-effective targeted prevention and treatments tailored to the person. This article demonstrates advanced strategies in bio/medical sciences and healthcare focused on suboptimal health conditions in the frame-work of Predictive, Preventive and Personalised Medicine (3PM/PPPM). Potential benefits in healthcare systems and for society at large include but are not restricted to an improved life-quality of major populations and socio-economical groups, advanced professionalism of healthcare-givers and sustainable healthcare economy. Amongst others, following medical areas are proposed to strongly benefit from PPPM strategies applied to the identification and treatment of suboptimal health conditions:Stress overload associated pathologiesMale and female healthPlanned pregnanciesPeriodontal healthEye disordersInflammatory disorders, wound healing and pain management with associated complicationsMetabolic disorders and suboptimal body weightCardiovascular pathologiesCancersStroke, particularly of unknown aetiology and in young individualsSleep medicineSports medicineImproved individual outcomes under pandemic conditions such as COVID-19.

Indexed as

AdolescenceArtificial intelligence (AI)Behavioural patternsBig data managementBody mass index (BMI)CancersCardiovascular diseaseCommunicableCOVID-19Dietary habitsEpidemicsGlycanHealth economyHealth policyIndividualised patient profileLifestyleLiquid biopsyMedical ethicsMicrobiomeModifiable preventable risksMood disordersMulti-level diagnosticsMulti-parametric analysisNatural substancesNeurologic diseasesNon-communicable diseasesOmicsPandemicsPeriodontal healthPredictive preventive personalised medicine (PPPM/3PM)Risk assessmentSleep medicineStress overloadSuboptimal health status (SHS)Traditional medicine

Identifiers

PMID34539937
PMCPMC8435766

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.