Evidence map›Paper›PMID 25477529›Full record

ReviewJournal of clinical pathology2015

Diffuse lung disease of infancy: a pattern-based, algorithmic approach to histological diagnosis.

Jane E Armes, William Mifsud, Michael Ashworth

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of clinical pathology, 2015. 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
1.5field-weighted citation impact, top 17% 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, 29 citations in OpenAlex.

  1. Loss ofAmerican journal of respiratory cell and molecular biology · 2025
    Article
  2. Article
  3. Interstitial lung disease in infancy and early childhood: a clinicopathological primer.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  4. Article
  5. Article
  6. Review
  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

3 authors at 3 institutions in 2 countries.

Jane E ArmesDepartment of Anatomical Pathology, Mater Health Services, South Brisbane, Queensland, Australia.
William MifsudDepartment of Histopathology, Great Ormond Street Hospital, London, UK.
Michael AshworthDepartment of Histopathology, Great Ormond Street Hospital, London, UK.
Great Ormond Street Hospital · GBMater Health Services · AUUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse lung disease (DLD) of infancy has multiple aetiologies and the spectrum of disease is substantially different from that seen in older children and adults. In many cases, a specific diagnosis renders a dire prognosis for the infant, with profound management implications. Two recently published series of DLD of infancy, collated from the archives of specialist centres, indicate that the majority of their cases were referred, implying that the majority of biopsies taken for DLD of infancy are first received by less experienced pathologists. The current literature describing DLD of infancy takes a predominantly aetiological approach to classification. We present an algorithmic, histological, pattern-based approach to diagnosis of DLD of infancy, which, with the aid of appropriate multidisciplinary input, including clinical and radiological expertise and ancillary diagnostic studies, may lead to an accurate and useful interim report, with timely exclusion of inappropriate diagnoses. Subsequent referral to a specialist centre for confirmatory diagnosis will be dependent on the individual case and the decision of the multidisciplinary team.

Indexed as

AlgorithmsBiomarkersBiopsyClinical ProtocolsHumansImmunohistochemistryInfantInfant, NewbornInfant, Newborn, DiseasesInterdisciplinary CommunicationLungLung Diseases, InterstitialPatient Care TeamPredictive Value of TestsPrognosisReferral and ConsultationBiomarkersHISTOPATHOLOGYLUNGPAEDIATRIC PATHOLOGY

Identifiers

PMID25477529
PMCPMC4316934
OpenAlexW2166581348

What OpenQuestion 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 OpenQuestion graph.