Evidence map›Paper›PMID 30221212›Full record

ArticleComputational toxicology (Amsterdam, Netherlands)2018

The sbv IMPROVER Systems Toxicology Computational Challenge: Identification of Human and Species-Independent Blood Response Markers as Predictors of Smoking Exposure and Cessation Status.

Vincenzo Belcastro, Carine Poussin, Yang Xiang, Maurizio Giordano, Kumar Parijat Tripathi, Akash Boda, Stéphanie Boué, Mario Guarracino, Florian Martin, Manuel C Peitsch and 14 more

Open access · hybridAbstract read
In one paragraph

Article in Computational toxicology (Amsterdam, Netherlands), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

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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

24 authors at 8 institutions in 6 countries.

Vincenzo BelcastroPMI R&D, Philip Morris Products S.A. Quai Jeanrenaud 5, 2000 Neuchatel, Switzerland (part of Philip Morris International group of companies).
Carine PoussinPMI R&D, Philip Morris Products S.A. Quai Jeanrenaud 5, 2000 Neuchatel, Switzerland (part of Philip Morris International group of companies).
Yang XiangPMI R&D, Philip Morris Products S.A. Quai Jeanrenaud 5, 2000 Neuchatel, Switzerland (part of Philip Morris International group of companies).
Maurizio GiordanoIstituto di Calcolo e Reti ad Alte Prestazioni CNR, Via P. Castellino, 111 80131 Napoli, Italy.
Kumar Parijat TripathiIstituto di Calcolo e Reti ad Alte Prestazioni CNR, Via P. Castellino, 111 80131 Napoli, Italy.
Akash BodaPMI R&D, Philip Morris Products S.A. Quai Jeanrenaud 5, 2000 Neuchatel, Switzerland (part of Philip Morris International group of companies).
Stéphanie BouéPMI R&D, Philip Morris Products S.A. Quai Jeanrenaud 5, 2000 Neuchatel, Switzerland (part of Philip Morris International group of companies).
Mario GuarracinoIstituto di Calcolo e Reti ad Alte Prestazioni CNR, Via P. Castellino, 111 80131 Napoli, Italy.
Florian MartinPMI R&D, Philip Morris Products S.A. Quai Jeanrenaud 5, 2000 Neuchatel, Switzerland (part of Philip Morris International group of companies).
Manuel C PeitschPMI R&D, Philip Morris Products S.A. Quai Jeanrenaud 5, 2000 Neuchatel, Switzerland (part of Philip Morris International group of companies).
Julia HoengPMI R&D, Philip Morris Products S.A. Quai Jeanrenaud 5, 2000 Neuchatel, Switzerland (part of Philip Morris International group of companies).
Roberto RomeroPerinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, 48201, USA.
Adi L TarcaDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA.
Zhongqu DuanSJTU-Yale Joint Center for Biostatistics, Shanghai Jiao Tong University, Shanghai, China.
Hao YangSJTU-Yale Joint Center for Biostatistics, Shanghai Jiao Tong University, Shanghai, China.
Xiaofeng GongSJTU-Yale Joint Center for Biostatistics, Shanghai Jiao Tong University, Shanghai, China.
Peixuan WangSJTU-Yale Joint Center for Biostatistics, Shanghai Jiao Tong University, Shanghai, China.
Chenfang ZhangSJTU-Yale Joint Center for Biostatistics, Shanghai Jiao Tong University, Shanghai, China.
Wenxin YangSJTU-Yale Joint Center for Biostatistics, Shanghai Jiao Tong University, Shanghai, China.
Omer Sinan SaracIstanbul Technical University, Istanbul, Turkey.
Ismail BilgenIstanbul Technical University, Istanbul, Turkey.
Ali Tugrul BalciIstanbul Technical University, Istanbul, Turkey.
Rahul KumarInstitute of Microbial Technology, Sector 39A, Chandigarh, 160036, India.
Sandeep Kumar DhandaLa Jolla Institute for Allergy and Immunology, 9420, Athena Circle, La Jolla, CA, 92037, USA.
Philip Morris International (Switzerland) · CHShanghai Jiao Tong University · CNInstitute for High Performance Computing and Networking · ITIstanbul Technical University · TRInstitute of Microbial Technology · INLa Jolla Institute for Immunology · USUnited States Department of Health and Human Services · USWayne State University · US

Funding

NICHD NIH HHS N01 HD023342
6 · The paper itself

Abstract

Cigarette smoking entails chronic exposure to a mixture of harmful chemicals that trigger molecular changes over time, and is known to increase the risk of developing diseases. Risk assessment in the context of 21

Indexed as

blood biomarkerscomputational challengegene signaturesmoking biomarkerSystems toxicology

Identifiers

PMID30221212
PMCPMC6136260
OpenAlexW2734738814

What OpenQuestion holds

Textmetadata
LicenceTDM
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.