Evidence map›Paper›PMID 30158988›Full record

ReviewJournal of environmental and public health2018

The Curious Case of Cholangiocarcinoma: Opportunities for Environmental Health Scientists to Learn about a Complex Disease.

William A Suk, Vajarabhongsa Bhudhisawasdi, Mathuros Ruchirawat

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of environmental and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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  6. 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

3 authors at 3 institutions in 2 countries.

William A SukSuperfund Research Program, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC 27709, USA.ORCID 0000-0002-1964-0564
Vajarabhongsa BhudhisawasdiSurgery, Khon Kaen University, Changwat Khon Kaen, Khon Kaen 40002, Thailand.
Mathuros RuchirawatResearch and Academic Affairs, Chulabhorn Research Institute, Bangkok 10210, Thailand.
Chulabhorn Research Institute · THKhon Kaen University · THNational Institute of Environmental Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deaths from complex, noncommunicable diseases such as cancer are predicted to continue to increase worldwide, with low- and middle-income countries bearing the brunt of the burden. This problem requires a concentrated global effort to avoid devastating losses of life as well as economic losses. Cholangiocarcinoma (CCA) is a readily studied model of complex, noncommunicable disease, but it receives little attention outside of the scientific community in Southeast Asia. Here, we bring attention to the opportunity to study CCA as a model to understand the role of multiple, complex factors in cancer. These factors include allostatic load, individual genetic susceptibility, and environmental exposures such as chemicals, diet, socioeconomic factors, and psychosocial stress. The study of CCA offers a unique opportunity to make novel observations that could advance progress in prevention and intervention approaches for prevalent diseases that involve complex, multifactorial interactions.

Indexed as

AllostasisEnvironmental ExposureEnvironmental HealthGenetic Predisposition to DiseaseBile Duct NeoplasmsCholangiocarcinomaDietEnvironmental PollutantsHumansSocioeconomic FactorsStress, PsychologicalEnvironmental Pollutants

Identifiers

PMID30158988
PMCPMC6109541
OpenAlexW2887366849

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.