Evidence map›Paper›PMID 25523026›Full record

ReviewEuropean journal of immunology2015

NSAIDs: learning new tricks from old drugs.

Federico Díaz-González, Francisco Sánchez-Madrid

Open access · greenAbstract readReview
In one paragraph

Review in European journal of immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

45 citing papers in PubMed, 112 citations in OpenAlex.

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  14. Neutrophils and Anesthetic Drugs: Implications in Onco-Anesthesia.International journal of molecular sciences · 2024
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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 at 2 institutions in 1 country.

Federico Díaz-GonzálezDepartment of Internal Medicine, Universidad de La Laguna, Rheumatology Service, Hospital Universitario de Canarias, Santa Cruz de Tenerife, Spain.
Francisco Sánchez-Madrid
Universidad Autónoma de Madrid · ESUniversidad de La Laguna · ES

Funding

European Research Council 294340
6 · The paper itself

Abstract

Nonsteroidal anti-inflammatory drugs (NSAIDs) comprise a heterogeneous group of pharmacological agents used for the symptomatic treatment of fever, pain, and inflammation. Although the main mechanism of action of NSAIDs consists of inhibiting prostaglandin synthesis by blocking the enzyme cyclooxygenase (COX), clinical, and experimental data strongly indicate the existence of additional mechanisms. Some of the COX-independent effects are related to the ability of NSAIDs to penetrate biological membranes and disrupt important molecular interactions necessary for a wide array of cellular functions, including cell adhesion. These effects, in particular those that interfere with L-selectin function in neutrophils during the inflammatory response, may contribute to the anti-inflammatory properties that NSAIDs exert in vivo. Recent contributions in this field have shown that the anti-L-selectin effect of NSAIDs is related to the NADPH-oxidase-dependent generation of superoxide anion at the plasma membrane. These findings might represent a novel approach for developing new and effective anti-inflammatory compounds with a better safety profile than the currently available NSAIDs.

Indexed as

AnimalsAnti-Inflammatory Agents, Non-SteroidalCell MembraneFeverHumansInflammationL-SelectinNADPH OxidasesNeutrophilsPainProstaglandin-Endoperoxide SynthasesSuperoxidesAnti-Inflammatory Agents, Non-SteroidalL-SelectinNADPH OxidasesProstaglandin-Endoperoxide SynthasesSuperoxidesL-selectinNADPH oxidaseNon-steroidal anti-inflammatory drugs

Identifiers

PMID25523026
PMCPMC5065088
OpenAlexW1582598567

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.