Evidence map›Paper›PMID 29883460›Full record

ArticlePloS one2018

Absorbance summation: A novel approach for analyzing high-throughput ELISA data in the absence of a standard.

Holly Hartman, Yuge Wang, Harry W Schroeder, Xiangqin Cui

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  17. Observational
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  20. CXCR5Frontiers in immunology · 2021
    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

4 authors.

Holly HartmanDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Yuge WangDepartment of Microbiology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Harry W SchroederDepartment of Microbiology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Xiangqin CuiDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0003-0621-9313

Funding

UAB Multidisciplinary Clinical Research CenterP60AR064172 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BRIDGES, S LOUIS · 2013 to 2018
$4.5M
The pre-BCR CDR-H3 sensing site and H chain selectionR21AI117703 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SCHROEDER, HARRY WILLIAM · 2015 to 2016
$404k
NIAID NIH HHS R21 AI117703NIAMS NIH HHS P60 AR064172
6 · The paper itself

Abstract

We have developed a very simple method, termed absorbance summation (AS), for comparing protein concentrations between samples in ELISA assays without a standard. This method sums the observed absorbance values from all dilutions to obtain one data point for each sample to be used for comparison. AS is less computationally intensive than fitting sigmoidal curves, and it avoids the difficulty of parameter estimation for samples with absorbance values lying primarily at the lower tail of the curve. Our simulation studies showed that it performs much better than the sigmoidal curve fitting method and the conventional endpoint titer method. The power of this simple method is as high as the formal curve fitting followed by the estimation of area under the curve (AUC).

Indexed as

Models, TheoreticalArea Under Curveenv Gene Products, Human Immunodeficiency VirusEnzyme-Linked Immunosorbent AssayHumansProteinsROC Curveenv Gene Products, Human Immunodeficiency Virusgp140 envelope protein, Human immunodeficiency virus 1Proteins

Identifiers

PMID29883460
PMCPMC5993274

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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.