Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,680

The DOI matches its Crossref record.

Simple method of estimating severity of pulmonary fibrosis on a numerical scale.

Open access
Ashcroft, T, Simpson, J M, Timbrell, V·1988·Journal of Clinical Pathology

Abstract

A continuous numerical scale for determining the degree of fibrosis in lung specimens was devised for correlation with other pulmonary variables such as lung function tests or mineral burden. Grading was scored on a scale from 0 to 8, using the average of microscope field scores. The system allows fibrosis to be measured in small samples of tissue (1 cm) which can provide a detailed description of the changes in a lung, currently not possible with most existing methods.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/jcp.41.4.467

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,680

Metadata

Authors
Ashcroft, T., Simpson, J. M., & Timbrell, V
Venue
Journal of Clinical Pathology
Publisher
BMJ
Published
1988-04
Volume
41
Issue
4
Pages
467-470
ISSN
  • 0021-9746 (ISSN-L)
  • 1472-4146
OpenAlex
W2075400164
Cited by
1,680
References
0
FWCI
2.02
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Simple method of estimating severity of pulmonary fibrosis on a numerical scale. https://app.cochat.ai/papers/10.1136/jcp.41.4.467
The paper
Ashcroft, T., Simpson, J. M., & Timbrell, V. (1988). Simple method of estimating severity of pulmonary fibrosis on a numerical scale. Journal of Clinical Pathology. https://doi.org/10.1136/jcp.41.4.467

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.