Evidence map›Paper›PMID 37392011›Full record

ReviewTherapeutic advances in respiratory disease

Idiopathic pulmonary fibrosis therapy development: a clinical pharmacology perspective.

Tu H Mai, Lyrialle W Han, Joy C Hsu, Nikhil Kamath, Lin Pan

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Dual αAmerican journal of respiratory and critical care medicine · 2025
    Trial
  2. Bexotegrast in Patients with Idiopathic Pulmonary Fibrosis: The INTEGRIS-IPF Clinical Trial.American journal of respiratory and critical care medicine · 2024
    Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

5 authors at 1 institution in 1 country.

Tu H MaiGenentech Inc., South San Francisco, CA, USA.ORCID 0000-0002-2097-2777
Lyrialle W HanGenentech Inc., South San Francisco, CA, USA.
Joy C HsuGenentech Inc., South San Francisco, CA, USA.
Nikhil KamathRoche Products Ltd, Welwyn Garden City, UK.
Lin PanGenentech, Inc., 1 DNA Way, South San Francisco, CA 94008, USA.
Roche (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug development for idiopathic pulmonary fibrosis (IPF) has been challenging due to poorly understood disease etiology, unpredictable disease progression, highly heterogeneous patient populations, and a lack of robust pharmacodynamic biomarkers. Moreover, because lung biopsy is invasive and dangerous, making the extent of fibrosis as a direct longitudinal measurement of IPF disease progression unfeasible, most clinical trials studying IPF can only assess progression of fibrosis indirectly through surrogate measures. This review discusses current state-of-art practices, identifies knowledge gaps, and brainstorms development opportunities for preclinical to clinical translation, clinical populations, pharmacodynamic endpoints, and dose optimization strategies. This article highlights clinical pharmacology perspectives in leveraging real-world data as well as modeling and simulation, special population considerations, and patient-centric approaches for designing future studies.

Indexed as

Idiopathic Pulmonary FibrosisPharmacology, ClinicalBiopsyDisease ProgressionFibrosisHumansclinical pharmacologydisease progression modeling and simulationdose selectionidiopathic pulmonary fibrosisspecial population

Identifiers

PMID37392011
PMCPMC10333628
OpenAlexW4382777085

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.