# Scientific Information Management and Literature-Based Evaluations for the National Toxicology Program (NTP) – Support for the conduct of Systematic Reviews

> **NIH NIH N01** · ICF, INC., LLC · 2020 · $1,400,000

## Abstract

The NTP performs systematic reviews of literature to assess the potential for adverse effects on human health by agents, substances, mixtures, or exposure scenarios, based on information about human exposure. The findings of these reviews generally focused on either cancer or non-cancer effects and published as monographs.  These reviews are conducted primarily by the DNTP Offices of Health Assessment and Translation (OHAT) and the Report on Carcinogens (ORoC). The ORoC prepares the congressionally mandated Report on Carcinogens (RoC), which lists substances that pose a cancer hazard for people living in the United States, and documents related to the cancer hazard evaluation of substances as potential new listings in the report. Systematic reviews are in progress for fluoride, air pollution, Sarin, inflammation/atherosclerosis, light at night/shiftwork, cooked meat, polycyclic aromatic hydrocarbons (PAH), nitro-PAH, woodsmoke, parachloro trifluorotoluene haloacetic acids, pesticides, and H. pylori.
Keywords: Systematic review, toxicology, epidemiology, exposure, cancer, non-cancer effects

## Key facts

- **NIH application ID:** 10148594
- **Project number:** 273201600015U-P00016-0-3
- **Recipient organization:** ICF, INC., LLC
- **Principal Investigator:** DAVID BURCH
- **Activity code:** N01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,400,000
- **Award type:** —
- **Project period:** 2016-04-21 → 2021-04-20

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10148594

## Citation

> US National Institutes of Health, RePORTER application 10148594, Scientific Information Management and Literature-Based Evaluations for the National Toxicology Program (NTP) – Support for the conduct of Systematic Reviews (273201600015U-P00016-0-3). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10148594. Licensed CC0.

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