Evidence map›Paper›PMID 31765385›Full record

ArticlePloS one2019

Statistical determination of synergy based on Bliss definition of drugs independence.

Eugene Demidenko, Todd W Miller

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04516395 (Optimizing Antibiotic Dosing Regimens for the Treatment of Infection Caused by Carbapenem Resistant Enterobacteriaceae), which is not on this map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
–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.

NCT04516395 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Optimizing Antibiotic Dosing Regimens for the Treatment of Infection Caused by Carbapenem Resistant Enterobacteriaceae: the Study of in Vitro Activity of Monotherapy and Combination Therapy, PK/PD Study and Treatment Outcomes

TypeinterventionalSponsorPhramongkutklao College of Medicine and HospitalRan2020 to 2021Enrolled102ConditionsDrug Resistance, Carbapenem-Resistant Enterobacteriaceae Infection, Sepsis, Septic ShockArmsCombined antibiotic regimens, Standard antibiotic regimens
3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. [Research square · 2026
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  6. Combination of Melittin andInternational journal of molecular sciences · 2026
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  13. Science advances · 2026
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  19. Metabolic Response to CDK4/6 Inhibition in ER+ Breast Cancer Creates a Therapeutic Vulnerability in Drug-Tolerant Persister Cells.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  20. Article

39 more citing papers are in PubMed but not listed here.

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

2 authors.

Eugene DemidenkoBiomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.ORCID 0000-0002-6584-1148
Todd W MillerMolecular & Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Coordinating Center: Molecular and Cellular Findings of Screen-Detected LesionsU01CA196386 · NCI · DARTMOUTH COLLEGE · PI AMOS, CHRISTOPHER I. · 2015 to 2020
$4.1M
Predicting SNP priors for Cancer GWASsR56LM012371 · NLM · DARTMOUTH COLLEGE · PI DEMIDENKO, EUGENE · 2017 to 2018
$640k
NCI NIH HHS P30 CA023108NCI NIH HHS U01 CA196386NLM NIH HHS R56 LM012371
6 · The paper itself

Abstract

Although synergy is a pillar of modern pharmacology, toxicology, and medicine, there is no consensus on its definition despite its nearly one hundred-year history. Moreover, methods for statistical determination of synergy that account for variation of response to treatment are underdeveloped and if exist are reduced to the traditional t-test, but do not comply with the normal distribution assumption. We offer statistical models for estimation of synergy using an established definition of Bliss drugs' independence. Although Bliss definition is well-known, it remains a theoretical concept and has never been applied for statistical determination of synergy with various forms of treatment outcome. We rigorously and consistently extend the Bliss definition to detect statistically significant synergy under various designs: (1) in vitro, when the outcome of a cell culture experiment with replicates is the proportion of surviving cells for a single dose or multiple doses, (2) dose-response methodology, (3) in vivo studies in organisms, when the outcome is a longitudinal measurement such as tumor volume, and (4) clinical studies, when the outcome of treatment is measured by survival. For each design, we developed a specific statistical model and demonstrated how to test for independence, synergy, and antagonism, and compute the associated p-value.

Indexed as

Models, BiologicalAnimalsAntineoplastic AgentsCell Culture TechniquesCell Line, TumorCell SurvivalClinical Trials as TopicDisease Models, AnimalDose-Response Relationship, DrugDrug AntagonismDrug Evaluation, PreclinicalDrug SynergismHumansIntention to Treat AnalysisKaplan-Meier EstimateMiceAntineoplastic Agents

Identifiers

PMID31765385
PMCPMC6876842

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Registered trials

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.