Evidence map›Paper›PMID 24718136›Full record

ArticleOptics express2014

A statistical model for removing inter-device differences in spectroscopy.

Lu Wang, Jong Soo Lee, Pierre Lane, E Neely Atkinson, Andres Zuluaga, Michele Follen, Calum MacAulay, Dennis D Cox

Abstract read
In one paragraph

Article in Optics express, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Lu Wang
Jong Soo Lee
Pierre Lane
E Neely Atkinson
Andres Zuluaga
Michele Follen
Calum MacAulay
Dennis D Cox

Funding

Technical FeasibilityP01CA082710 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GUILLAUD, MARTIAL · 1999 to 2014
$28.7M
NCI NIH HHS P01 CA082710NCI NIH HHS P01-CA82710
6 · The paper itself

Abstract

We are investigating spectroscopic devices designed to make in vivo cervical tissue measurements to detect pre-cancerous and cancerous lesions. All devices have the same design and ideally should record identical measurements. However, we observed consistent differences among them. An experiment was designed to study the sources of variation in the measurements recorded. Here we present a log additive statistical model that incorporates the sources of variability we identified. Based on this model, we estimated correction factors from the experimental data needed to eliminate the inter-device variability and other sources of variation. These correction factors are intended to improve the accuracy and repeatability of such devices when making future measurements on patient tissue.

Indexed as

Models, StatisticalFemaleHumansSpectrometry, FluorescenceSpectrum AnalysisUterine Cervical Neoplasms

Identifiers

PMID24718136
PMCPMC4083050

What OpenQuestion holds

Textmetadata
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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.