Evidence map›Paper›PMID 34430454›Full record

ReviewIndian dermatology online journal

Non-Infectious Granulomatous Dermatoses: A Pathologist's Perspective.

Debajyoti Chatterjee, Rajsmita Bhattacharjee, Uma Nahar Saikia

Abstract readReview
In one paragraph

Review in Indian dermatology online journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Defensive medicine in dermatological practice - Dermatopathology as a mirror of structural challenges.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Establishing a Diagnosis of Pulmonary Sarcoidosis.Journal of clinical medicine · 2023
    Article
  7. Article
  8. Macrophage Biology in Human Granulomatous Skin Inflammation.International journal of molecular sciences · 2023
    Review
  9. Article
  10. 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.

Debajyoti ChatterjeeDepartment of Histopathology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Rajsmita BhattacharjeeDepartment of Dermatology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Uma Nahar SaikiaDepartment of Histopathology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Granulomatous dermatitis (GD) is one of the commonest tissue reaction patterns encountered in dermatopathology practice. Granulomatous inflammation in the skin can be seen in a wide range of conditions, thus, granulomatous dermatitis always poses significant challenge even to the astute dermatologists and dermatopathologists. Broadly, granulomatous dermatitis is divided into two groups-infectious and non-infectious, the prevalence of both highly variable and show overlapping pathology. However, there are subtle histological clues, which when combined with clinical features, help to narrow down the differential diagnosis. Thus, a good Clinicopathological correlation (CPC) along with histochemical stains, culture and ancillary techniques including molecular studies are required for arriving at a definite diagnosis. In this review, we shall discuss the histological clues to diagnose non-infectious granulomatous dermatitis (NIGD) and their differential diagnoses.

Indexed as

Granulomatous dermatitishistochemistryinterstitial granulomanecrobiotic granulomasarcoidosis

Identifiers

PMID34430454
PMCPMC8354400

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.