Evidence map›Paper›PMID 26636627›Full record

ReviewExpert review of molecular diagnostics2016

Integration of molecular pathology, epidemiology and social science for global precision medicine.

Akihiro Nishi, Danny A Milner, Edward L Giovannucci, Reiko Nishihara, Andy S Tan, Ichiro Kawachi, Shuji Ogino

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Expert review of molecular diagnostics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05359991 (Revamping Exercise Assessments in Child Health), which is not on this map. Cited by 41 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 10 pooled it
3.7field-weighted citation impact, top 5% 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.

NCT05359991 narecruitingnot on this mapstarted 2020, after this paper: background citation

Revamping Exercise Assessments in Child Health (Project REACH)

TypeinterventionalSponsorUniversity of California, IrvineRan2020 to 2026Enrolled240ConditionsCystic Fibrosis, Sickle Cell Disease, SARS CoV 2 InfectionArmsExercise
3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 10 syntheses or guidelines pooled it, 96 citations in OpenAlex.

  1. Pooled it
  2. Effects ofFrontiers in genetics · 2022
    Pooled it
  3. Associations between genetic polymorphisms inCancer biology & therapy · 2020
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Relationship of genetic polymorphisms inEpidemiology and infection · 2019
    Pooled it
  8. Pooled it
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  10. Pooled it
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
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  20. Review
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

7 authors at 3 institutions in 1 country.

Akihiro Nishia Yale Institute for Network Science , New Haven , CT , USA.
Danny A Milnerc Department of Pathology , Brigham and Women's Hospital and Harvard Medical School , Boston , MA , USA.
Edward L Giovannuccie Department of Epidemiology , Harvard T.H. Chan School of Public Health , Boston , MA , USA.
Reiko Nishiharae Department of Epidemiology , Harvard T.H. Chan School of Public Health , Boston , MA , USA.
Andy S Tani Department of Medical Oncology , Dana-Farber Cancer Institute , Boston , MA , USA.
Ichiro Kawachij Department of Social and Behavioral Sciences , Harvard T.H. Chan School of Public Health , Boston , MA , USA.
Shuji Oginoc Department of Pathology , Brigham and Women's Hospital and Harvard Medical School , Boston , MA , USA.
Brigham and Women's Hospital · USHarvard University · USYale University · US

Funding

Accelerating Transdisciplinary Epidemiology of Colorectal CancerR35CA197735 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2015 to 2021
$6.0M
Epigenetic Events and Colorectal Cancer EpidemiologyR01CA151993 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2010 to 2014
$2.6M
Lifestyle, genetics and colonoscopy for colorectal cancer preventionK07CA190673 · NCI · DANA-FARBER CANCER INST · PI NISHIHARA, REIKO · 2014 to 2018
$609k
NCI NIH HHS K07 CA190673NCI NIH HHS R01 CA151993NCI NIH HHS R35 CA197735
6 · The paper itself

Abstract

The precision medicine concept and the unique disease principle imply that each patient has unique pathogenic processes resulting from heterogeneous cellular genetic and epigenetic alterations and interactions between cells (including immune cells) and exposures, including dietary, environmental, microbial and lifestyle factors. As a core method field in population health science and medicine, epidemiology is a growing scientific discipline that can analyze disease risk factors and develop statistical methodologies to maximize utilization of big data on populations and disease pathology. The evolving transdisciplinary field of molecular pathological epidemiology (MPE) can advance biomedical and health research by linking exposures to molecular pathologic signatures, enhancing causal inference and identifying potential biomarkers for clinical impact. The MPE approach can be applied to any diseases, although it has been most commonly used in neoplastic diseases (including breast, lung and colorectal cancers) because of availability of various molecular diagnostic tests. However, use of state-of-the-art genomic, epigenomic and other omic technologies and expensive drugs in modern healthcare systems increases racial, ethnic and socioeconomic disparities. To address this, we propose to integrate molecular pathology, epidemiology and social science. Social epidemiology integrates the latter two fields. The integrative social MPE model can embrace sociology, economics and precision medicine, address global health disparities and inequalities, and elucidate biological effects of social environments, behaviors and networks. We foresee advancements of molecular medicine, including molecular diagnostics, biomedical imaging and targeted therapeutics, which should benefit individuals in a global population, by means of an interdisciplinary approach of integrative MPE and social health science.

Indexed as

EpigenomicsPathology, MolecularPrecision MedicineColorectal NeoplasmsDelivery of Health CareGenomicsHumansclinical outcomedisparityepigeneticsinterdisciplinarymolecular pathologic epidemiologynetwork analysispersonalized medicinesocial medicine

Identifiers

PMID26636627
PMCPMC4713314
OpenAlexW2187378598

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.