Evidence map›Paper›PMID 27200331›Full record

ArticleFrontiers in public health2016

Seasonal Variation in Skin Cancer Diagnosis.

Fortunato Bianconi, Giuseppe M Masanotti, Arcangelo Liso, Francesco La Rosa, Emilio Duca, Fabrizio Stracci

Abstract read
In one paragraph

Article in Frontiers in public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Fortunato BianconiPublic Health Section, Department of Experimental Medicine, University of Perugia, Perugia, Italy; Umbrian Population Cancer Registry, Regional Government of Umbria, University of Perugia, Perugia, Italy.
Giuseppe M MasanottiPublic Health Section, Department of Experimental Medicine, University of Perugia , Perugia , Italy.
Arcangelo LisoDepartment of Medicine and Surgery, University of Foggia , Foggia , Italy.
Francesco La RosaUmbrian Population Cancer Registry, Regional Government of Umbria, University of Perugia , Perugia , Italy.
Emilio DucaDepartment of Health, Regional Government of Umbria , Perugia , Italy.
Fabrizio StracciPublic Health Section, Department of Experimental Medicine, University of Perugia, Perugia, Italy; Umbrian Population Cancer Registry, Regional Government of Umbria, University of Perugia, Perugia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSeasonality of skin cancer is well known, and it is influenced by a number of variables, such as exposure and personal characteristics, but also health service factors. We investigated the variations in the diagnosis melanoma skin cancer (MSC) and non-melanoma skin cancer (NMSC) during the year.

methodsWe analyzed incident cases recorded in the Umbria Regional Cancer registry from 1994 to 2010 (1745 cases of MSC, 50% females, and 15,992 NMSC, 41% females). The Walter-Elwood test was used to assess seasonal effects. Relative risks were analyzed using negative binomial regression and splines.

resultsSeasonality of MSC and NMSC was similar. Incidence peaks were observed in weeks 8, 24, and 43 (February, July, and October) and troughs in weeks 16, 32, 52, and 1 (August and December). Both NMSC and MSC cancers showed most elevated risks in autumn. A seasonal effect was present for trunk (p < 0.001) and absent for face cancers (p = 0.3).

conclusionThe observed pattern of diagnoses presumably depends on health service factors (e.g., organization of melanoma days, reduced access to care in August and during Christmas holidays) and personal factors (e.g., unclothing in the summer and delays in seeking care). High incidence rates in autumn could also in part depend on a late cancer progression effect of UV exposure. More efforts should be placed in order to guarantee uniform access to care through the year.

Indexed as

access to carecancer registrymelanomaseasonal variationskin cancersUV

Identifiers

PMID27200331
PMCPMC4848301

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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.