Evidence map›Paper›PMID 31122266›Full record

ArticleJournal of medical case reports2019

Development of active tuberculosis during treatment of head and neck carcinoma: a case series.

Mioko Matsuo

Abstract readCase Reports
In one paragraph

Article in Journal of medical case reports, 2019. 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

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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
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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

1 author.

Mioko MatsuoDepartment of Head and Neck Surgery, Japan Community Health Care Organization Kyushu Hospital, 1-8-1 Kishinoura, Yahatanishi-ku, Kitakyushu City, Fukuoka, 806-8501, Japan. miolovemio@hotmail.co.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with head and neck carcinoma are considered to be at high risk of developing tuberculosis, since the risk of morbidity due to tuberculosis in these patients is 2.86 to 16 times the risk in the general population. CASE PRESENTATION: This case series describes an 83-year-old Japanese man, a 60-year-old Japanese man, and a 69-year-old Japanese man who developed active pulmonary tuberculosis while being treated for head and neck carcinoma. Two had previously developed tuberculosis and were treated for more than 50 years, but no symptoms or imaging findings suggested tuberculosis onset in the patients at initiation of treatment for head and neck carcinoma. Initially, local radiotherapy was performed for all three patients. Chemotherapy was continued for two patients who had pulmonary metastasis since initial consultation. For the other patient, surgery was performed for recurrence. In all three cases, active tuberculosis infection was observed during maintenance chemotherapy or immediately following surgery.

conclusionsDue to the high risk of developing tuberculosis, the possibility of prophylactic administration of anti-tuberculosis agents to patients with head and neck carcinoma should be investigated, although prophylactic administration is not a cost-effective option for all patients with head and neck carcinoma. However, if tuberculosis onset occurs, it leads to various problems; it has a major impact on not only patients with cancer but also various people in the social environment. In the future, it is essential to consider prophylactic administration in patients requiring long-term maintenance drug therapy, especially in those who are treated at out-patient chemotherapy clinics, where there are several patients with cancer with low disease resistance.

Indexed as

AgedAged, 80 and overAntitubercular AgentsCarcinomaFatal OutcomeHead and Neck NeoplasmsHumansJapanMaleMiddle AgedPre-Exposure ProphylaxisTreatment OutcomeTuberculosisAntitubercular AgentsActive tuberculosisHead and neck carcinomaProphylactic administration

Identifiers

PMID31122266
PMCPMC6533729

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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.