Evidence map›Paper›PMID 31912168›Full record

SynthesisHNO2020

[Head and neck cancer in the elderly-current aspects].

B Höing, S Lang, M Stuschke, S Hansen

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in HNO, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

B HöingKlinik für Hals-Nasen-Ohrenheilkunde, Universitätsklinikum Essen, Universität Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Deutschland. benedikt.hoeing@uk-essen.de.
S LangKlinik für Hals-Nasen-Ohrenheilkunde, Universitätsklinikum Essen, Universität Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Deutschland.
M StuschkeKlinik und Poliklinik für Strahlentherapie, Universitätsklinikum Essen, Essen, Deutschland.
S HansenKlinik für Hals-Nasen-Ohrenheilkunde, Universitätsklinikum Essen, Universität Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Deutschland.
Essen University Hospital · DEUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe treatment of head and neck cancer is dominated by surgery and radiochemotherapy, which is in part associated with high morbidity. In elderly patients, however, the otorhinolaryngologist often has to question the rationality of invasive treatment. Although the proportion of geriatric patients with head and neck tumors is increasing, the paucity of data means that there are few consistent standards and recommendations in the literature and guidelines.

objectiveThe aim of this paper is to provide concrete clinical recommendations for geriatric patients with head and neck tumors based on a systematic literature search. MATERIALS AND

methodsA keyword-based literature search was performed to present the current level of evidence and provide a clinical algorithm.

resultsIn addition to age, the pretreatment dispositional evaluation of geriatric patients should include psychosocial, functional, and medical (patient history) comorbidities. For pretreatment risk stratification, an algorithm was created on the basis of these data for individual evaluation of the patient's pretreatment risk.

conclusionPretreatment risk stratification of geriatric patients with head and neck malignancies is of high relevance for the individual decision for or against invasive treatment, but the currently available evidence is limited. This paper is based on a systematic literature review and provides a clinical algorithm for otorhinolaryngologists and head and neck surgeons.

Indexed as

Head and Neck NeoplasmsAgedAlgorithmsChemoradiotherapyHumansAgedAlgorithmsGeriatric assessmentHead and neck neoplasmsMultimorbidity

Identifiers

PMID31912168
OpenAlexW2999132739

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.