Evidence map›Paper›PMID 24058271›Full record

ReviewMediators of inflammation2013

How histopathology can contribute to an understanding of defense mechanisms against cryptococci.

Yoichiro Okubo, Naobumi Tochigi, Megumi Wakayama, Minoru Shinozaki, Haruo Nakayama, Takao Ishiwatari, Kayoko Shimodaira, Tetsuo Nemoto, Hideaki Ohno, Yukihiro Kaneko and 5 more

Abstract readReview
In one paragraph

Review in Mediators of inflammation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Cryptococcus gattii infections.Clinical microbiology reviews · 2014
    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

15 authors.

Yoichiro OkuboDepartment of Surgical Pathology, Toho University School of Medicine, 6-11-1 Omori-Nishi, Ota-Ku, Tokyo 143-8541, Japan.
Naobumi Tochigi
Megumi Wakayama
Minoru Shinozaki
Haruo Nakayama
Takao Ishiwatari
Kayoko Shimodaira
Tetsuo Nemoto
Hideaki Ohno
Yukihiro Kaneko
Koichi Makimura
Katsuhisa Uchida
Yoshitsugu Miyazaki
Hideyo Yamaguchi
Kazutoshi Shibuya

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive fungal infections, particularly those considered opportunistic, have become a common and significant complication of procedures performed in advanced contemporary medicine. Among such infections, cryptococcosis, which is usually caused by infection with Cryptococcus neoformans and Cryptococcus gattii, is particularly problematic because this fungal infection occurs in immunocompromised and apparently immunocompetent individuals. It has been largely accepted that Cryptococcus species are recognized by cellular receptors and that Th1-type immune responses play an important role in defense mechanisms against the yeast. However, the interaction between the yeast and host tissue varies depending on the characteristics of the yeast and the immune status of the host. To gain a better understanding of the pathophysiology of cryptococcosis, we wish to emphasize the usefulness of histopathological examinations, because it allowed more detailed information of an extremely complex interaction between the causative yeasts and tissue response. In the present review, we describe the pathophysiology of cryptococcosis as largely revealed in our previous histopathological investigations of the experimental infection.

Indexed as

Host-Pathogen InteractionsAdaptive ImmunityAnimalsCell ProliferationCryptococcosisCryptococcusHumansImmunohistochemistryLungMacrophagesMiceMice, NudeOligonucleotide Array Sequence AnalysisTh1 Cells

Identifiers

PMID24058271
PMCPMC3766597

What OpenQuestion holds

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Registered trials

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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.