Evidence map›Paper›PMID 22002073›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2011

Infections in neuro-oncology.

P Gaviani, A Silvani, E Lamperti, A Botturi, G Simonetti, I Milanesi, D Ferrari, A Salmaggi

Abstract read
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

8 authors at 1 institution in 1 country.

P GavianiNeuro-Oncology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria, 11, 20133 Milan, Italy. paolagaviani@hotmail.com
A Silvani
E Lamperti
A Botturi
G Simonetti
I Milanesi
D Ferrari
A Salmaggi
Fondazione IRCCS Istituto Neurologico Carlo Besta · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infections represent a serious and frequent complication in neuro-oncology patients. Decreased immune defences, along with poor nutritional status are the main predisposition factors. The combined therapeutic strategies of chemotherapy and radiotherapy may favour bone marrow depression and further increase the risk of developing opportunistic infections in brain tumour patients. The spectrum of infections in neuro-oncology patients is large and includes opportunistic infections by bacteria, viruses, fungi and parasites. Importantly, a high index of suspicion for opportunistic infections in general should be maintained, especially in glioma patients receiving dose-dense schedules of temozolomide. After neurosurgical procedures, infections most commonly present as meningitis, subdural empyema, or cerebral abscess. Infections represent a frequent and possibly serious complication in general immunocompromised oncology population. It should be underlined that infections are not limited to immunocompromised patients, being also present at the early disease stages, especially due to therapeutic strategies (chemo and radiotherapy, surgical procedures). Therefore this issue deserves more attention in neuroncology setting.

Indexed as

Brain NeoplasmsGliomaHumansImmunocompromised HostOpportunistic Infections

Identifiers

PMID22002073
OpenAlexW2058596149

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.