Literature DB >> 19000298

Assays with lower detection limits: implications for epidemiological investigations.

Brian W Whitcomb1, Enrique F Schisterman.   

Abstract

Epidemiological investigations of health effects related to chronic low-level exposures or other circumstances often face the difficult task of dealing with levels of biomarkers that are hard to detect and/or quantify. In these cases instrumentation may not adequately measure biomarker levels. Reasons include a failure of instruments to detect levels below a certain value or, alternatively, interference by error or 'noise'. Current laboratory practice determines a 'limit of detection (LOD)', or some other detection threshold, as a function of the distribution of instrument 'noise'. Although measurements are produced above and below this threshold in many circumstances, rather than numerical data, all points observed below this threshold may be reported as 'not detected'. The focus of this process of determination of the LOD is instrument noise and avoiding false positives. Moreover, uncertainty is assumed to apply only to the lowest values, which are treated differently from above-threshold values, thereby potentially creating a false dichotomy. In this paper we discuss the application of thresholds to measurement of biomarkers and illustrate how conventional approaches, though appropriate for certain settings, may fail epidemiological investigations. Rather than automated procedures that subject observed data to a standard threshold, the authors advocate investigators to seek information on the measurement process and request all observed data from laboratories (including the data below the threshold) to determine appropriate treatment of those data.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19000298      PMCID: PMC2723785          DOI: 10.1111/j.1365-3016.2008.00969.x

Source DB:  PubMed          Journal:  Paediatr Perinat Epidemiol        ISSN: 0269-5022            Impact factor:   3.980


  14 in total

1.  Exposure estimation in the presence of nondetectable values: another look.

Authors:  M M Finkelstein; D K Verma
Journal:  AIHAJ       Date:  2001 Mar-Apr

2.  Generalized conjugate priors for Bayesian analysis of risk and survival regressions.

Authors:  Sander Greenland
Journal:  Biometrics       Date:  2003-03       Impact factor: 2.571

3.  Effects of exposure measurement error when an exposure variable is constrained by a lower limit.

Authors:  David B Richardson; Antonio Ciampi
Journal:  Am J Epidemiol       Date:  2003-02-15       Impact factor: 4.897

4.  Correlations among human blood levels of specific PCB congeners and implications for epidemiologic studies.

Authors:  E DeVoto; B J Fiore; R Millikan; H A Anderson; L Sheldon; W C Sonzogni; M P Longnecker
Journal:  Am J Ind Med       Date:  1997-12       Impact factor: 2.214

Review 5.  Regression calibration method for correcting measurement-error bias in nutritional epidemiology.

Authors:  D Spiegelman; A McDermott; B Rosner
Journal:  Am J Clin Nutr       Date:  1997-04       Impact factor: 7.045

6.  Relative concentrations of organochlorines in adipose tissue and serum among reproductive age women.

Authors:  Brian W Whitcomb; Enrique F Schisterman; Germaine M Buck; John M Weiner; Hebe Greizerstein; Paul J Kostyniak
Journal:  Environ Toxicol Pharmacol       Date:  2005-02       Impact factor: 4.860

7.  Environmental PCB exposure and risk of endometriosis.

Authors:  G M Buck Louis; J M Weiner; B W Whitcomb; R Sperrazza; E F Schisterman; D T Lobdell; K Crickard; H Greizerstein; P J Kostyniak
Journal:  Hum Reprod       Date:  2004-10-28       Impact factor: 6.918

8.  Circulating levels of cytokines during pregnancy: thrombopoietin is elevated in miscarriage.

Authors:  Brian W Whitcomb; Enrique F Schisterman; Mark A Klebanoff; Mona Baumgarten; Xiaoping Luo; Nasser Chegini
Journal:  Fertil Steril       Date:  2007-08-13       Impact factor: 7.329

9.  Organochlorines in Swedish women: determinants of serum concentrations.

Authors:  Anders Wicklund Glynn; Fredrik Granath; Marie Aune; Samuel Atuma; Per Ola Darnerud; Rickard Bjerselius; Harri Vainio; Elisabete Weiderpass
Journal:  Environ Health Perspect       Date:  2003-03       Impact factor: 9.031

10.  Epidemiologic evaluation of measurement data in the presence of detection limits.

Authors:  Jay H Lubin; Joanne S Colt; David Camann; Scott Davis; James R Cerhan; Richard K Severson; Leslie Bernstein; Patricia Hartge
Journal:  Environ Health Perspect       Date:  2004-12       Impact factor: 9.031

View more
  32 in total

1.  Treatment of batch in the detection, calibration, and quantification of immunoassays in large-scale epidemiologic studies.

Authors:  Brian W Whitcomb; Neil J Perkins; Paul S Albert; Enrique F Schisterman
Journal:  Epidemiology       Date:  2010-07       Impact factor: 4.822

2.  TWO AUTHORS REPLY.

Authors:  Neil J Perkins; Enrique F Schisterman
Journal:  Am J Epidemiol       Date:  2016-09-12       Impact factor: 4.897

3.  Blood BTEX levels and neurologic symptoms in Gulf states residents.

Authors:  Emily J Werder; Lawrence S Engel; Aaron Blair; Richard K Kwok; John A McGrath; Dale P Sandler
Journal:  Environ Res       Date:  2019-05-04       Impact factor: 6.498

4.  The association between cadmium, lead and mercury blood levels and reproductive hormones among healthy, premenopausal women.

Authors:  L W Jackson; P P Howards; J Wactawski-Wende; E F Schisterman
Journal:  Hum Reprod       Date:  2011-07-21       Impact factor: 6.918

5.  Maternal serum preconception polychlorinated biphenyl concentrations and infant birth weight.

Authors:  Laurel E Murphy; Audra L Gollenberg; Germaine M Buck Louis; Paul J Kostyniak; Rajeshwari Sundaram
Journal:  Environ Health Perspect       Date:  2010-02       Impact factor: 9.031

6.  Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort.

Authors:  Hannah E Laue; Yuka Moroishi; Brian P Jackson; Thomas J Palys; Juliette C Madan; Margaret R Karagas
Journal:  Environ Int       Date:  2020-03-03       Impact factor: 9.621

7.  Change-point models to estimate the limit of detection.

Authors:  Ryan C May; Haitao Chu; Joseph G Ibrahim; Michael G Hudgens; Abigail C Lees; David M Margolis
Journal:  Stat Med       Date:  2013-06-20       Impact factor: 2.373

8.  Multivariate Genome-wide Association Analysis of a Cytokine Network Reveals Variants with Widespread Immune, Haematological, and Cardiometabolic Pleiotropy.

Authors:  Artika P Nath; Scott C Ritchie; Nastasiya F Grinberg; Howard Ho-Fung Tang; Qin Qin Huang; Shu Mei Teo; Ari V Ahola-Olli; Peter Würtz; Aki S Havulinna; Kristiina Santalahti; Niina Pitkänen; Terho Lehtimäki; Mika Kähönen; Leo-Pekka Lyytikäinen; Emma Raitoharju; Ilkka Seppälä; Antti-Pekka Sarin; Samuli Ripatti; Aarno Palotie; Markus Perola; Jorma S Viikari; Sirpa Jalkanen; Mikael Maksimow; Marko Salmi; Chris Wallace; Olli T Raitakari; Veikko Salomaa; Gad Abraham; Johannes Kettunen; Michael Inouye
Journal:  Am J Hum Genet       Date:  2019-10-31       Impact factor: 11.025

9.  Deletion of Gremlin-2 alters estrous cyclicity and disrupts female fertility in mice†.

Authors:  Robert T Rydze; Bethany K Patton; Shawn M Briley; Hannia Salazar Torralba; Gregory Gipson; Rebecca James; Aleksandar Rajkovic; Thomas Thompson; Stephanie A Pangas
Journal:  Biol Reprod       Date:  2021-11-15       Impact factor: 4.161

10.  Pregnancy-specific Reference Intervals for BNP and NT-pro BNP-Changes in Natriuretic Peptides Related to Pregnancy.

Authors:  Samuel Dockree; Jennifer Brook; Brian Shine; Tim James; Manu Vatish
Journal:  J Endocr Soc       Date:  2021-05-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.