Evidence map›Paper›PMID 30618768›Full record

ArticleFrontiers in pharmacology2018

South-West of England's Experience of the Safety and Tolerability Pirfenidone and Nintedanib for the Treatment of Idiopathic Pulmonary Fibrosis (IPF).

Shaney L Barratt, Sarah Mulholland, Khaled Al Jbour, Henry Steer, Markus Gutsche, Noeleen Foley, Rajiv Srivastava, Charles Sharp, Huzaifa I Adamali

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Survival impact and safety comparison of pirfenidone and nintedanib for idiopathic pulmonary fibrosis: A meta-analysis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Observational
  16. Article
  17. Review
  18. Targeting fibrosis, mechanisms and cilinical trials.Signal transduction and targeted therapy · 2022
    Review
  19. Article
  20. 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

9 authors.

Shaney L BarrattBristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom.
Sarah MulhollandBristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom.
Khaled Al JbourBristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom.
Henry SteerGloucestershire and Cheltenham General Hospitals, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom.
Markus GutscheGloucestershire and Cheltenham General Hospitals, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom.
Noeleen FoleyRoyal United Hospitals Bath NHS Foundation Trust, Bath, United Kingdom.
Rajiv SrivastavaWeston General Hospital, Weston-super-Mare, United Kingdom.
Charles SharpGloucestershire and Cheltenham General Hospitals, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom.
Huzaifa I AdamaliBristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

anti-fibrotic medicationsidiopathic pulmonary fibrosisinterstitial lung diseasenintedanibpirfenidone

Identifiers

PMID30618768
PMCPMC6304353

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.