Evidence map›Paper›PMID 26474804›Full record

ArticleJournal of cystic fibrosis : official journal of the European Cystic Fibrosis Society2015

Finding new drugs to enhance anion secretion in cystic fibrosis: Toward suitable systems for better drug screening. Report on the pre-conference meeting to the 12th ECFS Basic Science Conference, Albufeira, 25-28 March 2015.

Alan S Verkman, Aleksander Edelman, Margarida Amaral, Marcus A Mall, Jeffrey M Beekman, Torsten Meiners, Luis J V Galietta, Christine E Bear

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

8 authors at 8 institutions in 7 countries.

Alan S VerkmanUniversity of California San Francisco, United States.
Aleksander EdelmanINSERM U1151, Team 2, University Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France.
Margarida AmaralUniversity of Lisboa, Faculty of Sciences, BioISI - Biosystems & Integrative Sciences Institute, Campo Grande, 1749-016 Lisboa, Portugal.
Marcus A MallDepartment of Translational Pulmonology and Division of Pediatric Pulmonology & Allergy and Cystic Fibrosis Center, Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Germany.
Jeffrey M BeekmanDepartment of Pediatric Pulmonology/Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, The Netherlands.
Torsten MeinersLeibniz-Institut fuer Molekulare Pharmakologie (FMP), Robert-Roessle-Strasse 10, D-13125 Berlin, Germany.
Luis J V GaliettaIstituto Giannina Gaslini, Genova, Italy.
Christine E BearHospital for Sick Children, Toronto, Canada.
Délégation Paris 5 · FRHeidelberg University · DEHospital for Sick Children · CAIstituto Giannina Gaslini · ITLeibniz-Forschungsinstitut für Molekulare Pharmakologie · DEUniversity Medical Center Utrecht · NLUniversity of California, San Francisco · USUniversity of Lisbon · PT

Funding

SynthesisP30DK072517 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VERKMAN, ALAN S · 2005 to 2022
$18.1M
NIDDK NIH HHS P30 DK072517
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AnionsCongresses as TopicCystic FibrosisDrug Evaluation, PreclinicalHumansAnions

Identifiers

PMID26474804
PMCPMC4786369
OpenAlexW2136713932

What OpenQuestion holds

Textmetadata
LicenceTDM
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.