Evidence map›Paper›PMID 8549455›Full record

ReviewEnvironmental health perspectives1995

Application of biologic markers to studies of environmental risks in children and the developing fetus.

R M Whyatt, F P Perera

Abstract readReview
In one paragraph

Review in Environmental health perspectives, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Gene variants ofMolecular biology research communications · 2017
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors.

R M WhyattColumbia University School of Public Health, New York, NY 10032, USA.
F P Perera

Funding

BIOMARKERS OF ENVIRONMENTAL TOBACCO SMOKE EXPOSURER01CA051196 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PERERA, FREDERICA P · 1990 to 1992
–
AIR POLLUTION EFFECTS ON WOMEN AND DEVELOPING FETUSR01ES006722 · NIEHS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PERERA, FREDERICA P · 1993 to 1994
–
NCI NIH HHS CA51196NIEHS NIH HHS R01-ES06722PHS HHS P01-E505249
6 · The paper itself

Abstract

Young children and the developing fetus may be more susceptible to effects of environmental toxicants than adults due to differential exposure patterns and developmental immaturities. Biologic markers offer the potential of quantitative dosimeters of biologic dose and/or indices of biologic effect associated with fetal/childhood exposures. They can facilitate evaluation of interindividual variability in response and the magnitude of age-related susceptibilities. Thus far, biologic markers have not been widely used in developmental epidemiology of environmental exposures. Research by our group and others has seen elevations in biologic markers in samples from children and fetal tissue associated with a spectrum of environmental exposures, including tobacco smoke (active and passive), ambient pollution, and dietary contaminants. Studies also suggest that biologic markers can provide powerful dosimeters for investigating reproductive effects. Validation of biologic markers offering the greatest promise for developmental epidemiology is needed.

Indexed as

AdultBiomarkersChildEnvironmental ExposureEnvironmental PollutantsEpidemiologic MethodsFetusFood ContaminationHumansTobacco Smoke PollutionBiomarkersEnvironmental PollutantsTobacco Smoke Pollution

Identifiers

PMID8549455
PMCPMC1518899

What OpenQuestion holds

Textmetadata
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.