Evidence map›Paper›PMID 28623538›Full record

ReviewLung2017

Clinically Promising Biomarkers in Cystic Fibrosis Pulmonary Exacerbations.

L Keith Scott, Robert Toner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Lung, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The future of cystic fibrosis care: a global perspective.The Lancet. Respiratory medicine · 2020
    Review
  3. 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

2 authors.

L Keith ScottAdult and Pediatric CF Center, Louisiana State University Health - Shreveport, 1501 Kings Hwy, Shreveport, LA, 71103, USA. lscott2@lsuhsc.edu.
Robert TonerLouisiana State University Health - Shreveport, Shreveport, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystic fibrosis is a complex genetic disease hallmarked by repetitive infectious exacerbations that leads to destruction of airway architecture, acute on chronic inflammatory changes, and deterioration in lung function. Predicting an exacerbation may help preempt some of these changes by the initiation of swift antibiotic and anti-inflammatory therapy. A search for biomarkers that could predict exacerbations or help guide duration of antibiotic therapy is being aggressively sought. In this review, we discuss the most recent and promising biomarkers that hopefully will assist in the future management of the CF patient.

Indexed as

Anti-Bacterial AgentsAnti-Inflammatory AgentsBiomarkersCystic FibrosisDisease ProgressionGenetic MarkersHumansPneumoniaPredictive Value of TestsRespiratory Tract InfectionsTreatment OutcomeAnti-Bacterial AgentsAnti-Inflammatory AgentsBiomarkersGenetic MarkersBiomarkersCystic fibrosisCystic fibrosis pulmonary exacerbation

Identifiers

What OpenQuestion holds

Textmetadata
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.