Evidence map›Paper›PMID 29177895›Full record

ReviewVirchows Archiv : an international journal of pathology2018

Biopsy diagnosis of colitis: an algorithmic approach.

Deepa T Patil, Robert D Odze

Abstract readReview
PubMed Publisher
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 24 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Deepa T PatilDepartment of Pathology, Cleveland Clinic, Cleveland, OH, USA. patild@ccf.org.
Robert D OdzeDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Brigham and Women's Hospital · USCleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Certain types of colitides, such as collagenous colitis, lymphocytic colitis, and ischemic colitis, have distinct histologic features that allow for a specific diagnosis. However, in most colonic biopsy specimens, a definite diagnosis cannot be established on the basis of histology alone. Thus, in most cases of colitis, it is helpful to utilize a systematic approach in order to recognize patterns of injury. This information in conjunction with clinical and laboratory findings may help pathologists narrow the differential diagnosis and/or establish a more definite etiology for the patient's illness in order to guide clinical management. We provide general guidelines to distinguish variations in normal mucosa and biopsy procedure-related artifacts from true inflammatory conditions. Inflammatory conditions may be further categorized into those with predominantly lymphoplasmacytic inflammation (with or without neutrophils), predominantly neutrophilic inflammation, predominantly eosinophilic inflammation, or paucicellular colitis, since each of these patterns of inflammation are associated with a distinct differential diagnosis. This review will focus on a pattern-based algorithmic approach to evaluating biopsies of patients who present to physicians with signs and symptoms of colitis.

Indexed as

AlgorithmsBiopsyColitisHumansAlgorithmColitisEndoscopic biopsiesPattern of injury

Identifiers

PMID29177895
OpenAlexW2770368038

What OpenQuestion holds

Textmetadata
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.