Evidence map›Paper›PMID 33228849›Full record

ArticleeLife2020

A lung-on-chip model of early

Vivek V Thacker, Neeraj Dhar, Kunal Sharma, Riccardo Barrile, Katia Karalis, John D McKinney

Abstract readVideo-Audio Media
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing 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.

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

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

  1. Pooled it
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  10. Bridging the Gap Between Static Histology and Dynamic Organ-on-a-Chip Models.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
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32 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

6 authors.

Vivek V ThackerSchool of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.ORCID 0000-0002-1681-627X
Neeraj DharSchool of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.ORCID 0000-0002-5887-8137
Kunal SharmaSchool of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.ORCID 0000-0001-8086-3436
Riccardo BarrileEmulate Inc, Boston, United States.ORCID 0000-0002-7301-3959
Katia KaralisEmulate Inc, Boston, United States.
John D McKinneySchool of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.ORCID 0000-0002-0557-3479

Funding

European Molecular Biology Organization 921-2015European Molecular Biology Organization Long-Term Fellowship,921-2015Human Frontier Science Program Long-Term Fellowship,LT000231/2016-LHuman Frontier Science Program LT000231/2016-LSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030B_176397Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Project Funding,310030B_176397
6 · The paper itself

Abstract

We establish a murine lung-on-chip infection model and use time-lapse imaging to reveal the dynamics of host-

Indexed as

Lab-On-A-Chip DevicesAlveolar Epithelial CellsAnimalsBacterial LoadBacterial ProteinsCells, CulturedDisease Models, AnimalFemaleHost-Pathogen InteractionsMacrophages, AlveolarMice, Inbred C57BLMice, TransgenicMicrobial ViabilityMicrofluidic Analytical TechniquesMicroscopy, VideoMycobacterium tuberculosisBacterial ProteinsEspI protein, Mycobacterium tuberculosisPulmonary Surfactant-Associated Proteinsdisease modelshost-pathogen interactionsinfectious diseasemicrobiologymouseMycobacterium tuberculosisorgan-on-chipphysics of living systemspulmonary surfactanttime-lapse microscopy

Identifiers

PMID33228849
PMCPMC7735758

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.