Evidence map›Paper›PMID 31849651›Full record

ArticleFrontiers in pharmacology2019

Additive Dose Response Models: Defining Synergy.

Simone Lederer, Tjeerd M H Dijkstra, Tom Heskes

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Corticosterone binds αHypertension research : official journal of the Japanese Society of Hypertension · 2026
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  15. Review
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  17. Paclitaxel and Carboplatin in Combination with Low-intensity Pulsed Ultrasound for Glioblastoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  18. Review
  19. Article
  20. Development of constitutively synergistic nanoformulations to enhance chemosensitivity in T-cell leukemia.Journal of controlled release : official journal of the Controlled Release Society · 2023
    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

3 authors.

Simone LedererData Science, Institute for Computing and Information Sciences, Radbound University, Nijmegen, Netherlands.
Tjeerd M H DijkstraMax Planck Institute for Developmental Biology, Tübingen, Germany.
Tom HeskesData Science, Institute for Computing and Information Sciences, Radbound University, Nijmegen, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In synergy studies, one focuses on compound combinations that promise a synergistic or antagonistic effect. With the help of high-throughput techniques, a huge amount of compound combinations can be screened and filtered for suitable candidates for a more detailed analysis. Those promising candidates are chosen based on the deviance between a measured response and an expected non-interactive response. A non-interactive response is based on a principle of no interaction, such as Loewe Additivity or Bliss Independence. In a previous study, we introduced, an explicit formulation of the hitherto implicitly defined Loewe Additivity, the so-called Explicit Mean Equation. In the current study we show that this Explicit Mean Equation outperforms the original implicit formulation of Loewe Additivity and Bliss Independence when measuring synergy in terms of the deviance between measured and expected response, called the lack-of-fit. Further, we show that computing synergy as lack-of-fit outperforms a parametric approach. We show this on two datasets of compound combinations that are categorized into synergistic, non-interactive, and antagonistic.

Indexed as

Bliss Independencedose equivalenceExplicit Mean EquationGeneral Isobole EquationHill curvelack-of-fitLoewe Additivitysynergy

Identifiers

PMID31849651
PMCPMC6901947

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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.