Evidence map›Paper›PMID 25319226›Full record

ReviewDer Pathologe2014

[Interstitial lung diseases. The pattern is important].

L Fink

Abstract readConsensus StatementEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2014. 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. Review
  2. Review
  3. Article
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

1 author.

L FinkInstitut für Pathologie und Zytologie, Überregionale Gemeinschaftspraxis (ÜGP), Forsthausstr. 1, 35578, Wetzlar, Deutschland, fink@patho-wetzlar.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interstitial lung diseases (ILDs) comprise a number of rare entities with an estimated incidence of 10-25 per 100,000 inhabitants but the incidence greatly increases beyond the age of 65 years. The prognosis depends on the underlying cause. The fibrotic disorders show a set of radiological and histopathological patterns that are distinct but not entirely specific. In the absence of a clear clinical picture and consistent high resolution computed tomography (HRCT) findings, patients are advised to undergo surgical lung biopsies from two or three lung lobes (or transbronchial biopsies) to determine the histopathological pattern. The ILDs are differentiated into disorders of known causes (e.g. collagen vascular disease, drug-related), idiopathic interstitial pneumonia (IIP), granulomatous ILDs (e.g. sarcoidosis) and other forms of ILD (e.g. Langerhans' cell histiocytosis). The IIPs encompass idiopathic pulmonary fibrosis (IPF), non-specific interstitial pneumonia, desquamative interstitial pneumonia, respiratory bronchiolitis-interstitial lung disease, cryptogen organizing pneumonia, lymphocytic interstitial pneumonia and acute interstitial pneumonia. Additionally, a category of unclassified interstitial pneumonia exists. The pathologist has to recognize and address the histopathological pattern. In a multidisciplinary discussion the disorder is allocated to a clinicopathological entity and the histopathological pattern plays a major role in the classification of the entity. Recognition of the underlying pattern and the respective histopathological differential diagnoses is important as the therapy varies depending on the cause and ranges from elimination of the stimulus (if possible) to antifibrotic drug therapy up to preparation for lung transplantation.

Indexed as

AgedAge FactorsBiopsyCross-Sectional StudiesDiagnosis, DifferentialEuropeHumansLungLung Diseases, InterstitialSocieties, MedicalTomography, X-Ray ComputedUnited States

Identifiers

What OpenQuestion holds

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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.