Evidence map›Paper›PMID 34987337›Full record

ArticleDose-response : a publication of International Hormesis Society

A Universal Delayed Difference Model Fitting Dose-response Curves.

Linqian Yang, Jiaying Wang, Robert A Cheke, Sanyi Tang

Abstract read
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Article in Dose-response : a publication of International Hormesis Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Noninvasive Evaluation of Prolonged-Release Pirfenidone in Compensated Liver Cirrhosis. ODISEA Study, a Randomised Trial.Liver international : official journal of the International Association for the Study of the Liver · 2025
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4 · The record

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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.

Linqian YangSchool of Mathematics and Statistics, Shaanxi Normal University, Xi'an, China.ORCID https://orcid.org/0000-0002-5969-6909
Jiaying WangSchool of Mathematics and Statistics, Shaanxi Normal University, Xi'an, China.
Robert A ChekeNatural Resources Institute, the University of Greenwich, UK.ORCID https://orcid.org/0000-0002-7437-1934
Sanyi TangSchool of Mathematics and Statistics, Shaanxi Normal University, Xi'an, China.ORCID https://orcid.org/0000-0002-3324-746X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDose-response curves, which fit a multitude of experimental data derived from toxicology, are widely used in physics, chemistry, biology, and other fields. Although there are many dose-response models for fitting dose-response curves, the application of these models is limited by many restrictions and lacks universality, so there is a need for a novel, universal dynamical model that can improve fits to various types of dose-response curves.

methodsWe expand the hormetic Ricker model, taking the delay inherent in the dose-response into account, and develop a novel and dynamic delayed Ricker difference model (DRDM) to fit various types of dose-response curves. Furthermore, we compare the DRDM with other dose-response models to confirm that it can mimic different types of dose-response curves. DATA ANALYSIS: By fitting various types of dose-response data sets derived from drug applications, disease treatment, pest control, and plant management, and comparing the imitative effect of the DRDM with other models, we find that the DRDM fits monotonic dose-response data well and, in most circumstances, the DRDM has a better imitative effect to non-monotonic dose-response data with hormesis than other models do.

resultsThe MSE of fits of the DRDM to S-shaped dose-response data (DS2-G) is not lower than those for four other models, but the MSE of fits to U-shaped (DS7) and inverted U-shaped dose-response data (DS10) were lower than for two other models. This means that the imitative effect of the DRDM is comparable to other models of monotonic dose-response data, but is a significant improvement compared to traditional models of non-monotonic dose-response data with hormesis.

conclusionWe propose a novel dynamic model (DRDM) for fitting to various types of dose-response curves, which can reflect the dynamic trend of the population growth compared with traditional static dose-response models. By analyzing data, we have confirmed that the DRDM provides an ideal description of various dose-response observations and it can be used to fit a wide range of dose-response data sets, especially for hormetic data sets. Therefore, we conclude that the DRDM has a good universality for dose-response curve fitting.

Indexed as

curve fittingdata analysisdose-response curvesdynamic delayed Ricker difference model (DRDM)hormesis

Identifiers

PMID34987337
PMCPMC8689633

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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.