Evidence map›Paper›PMID 31304324›Full record

ArticleNPJ digital medicine2018

Google searches do not correlate with melanoma incidence in majority English speaking countries.

Laura McDonald, Alex Simpson, Sophie Graham, Anna Schultze, Beth Nordstrom, Piyush Durani, Faisal Mehmud, Sreeram V Ramagopalan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Laura McDonald1Centre for Observational Research and Data Sciences, Bristol-Myers Squibb, Uxbridge, UB8 1DH UK.
Alex SimpsonReal-World Evidence, Evidera, London, W6 8DL UK.
Sophie GrahamReal-World Evidence, Evidera, London, W6 8DL UK.
Anna SchultzeReal-World Evidence, Evidera, London, W6 8DL UK.
Beth Nordstrom3Real-World Evidence, Evidera, Waltham, MA 02541 USA.
Piyush Durani4Bristol-Myers Squibb, Uxbridge, UB8 1DH UK.
Faisal Mehmud4Bristol-Myers Squibb, Uxbridge, UB8 1DH UK.
Sreeram V Ramagopalan1Centre for Observational Research and Data Sciences, Bristol-Myers Squibb, Uxbridge, UB8 1DH UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent reports have suggested that internet search behaviour may be a valuable tool to estimate melanoma incidence and mortality. Previous studies have used incorrect statistical methods, were focussed on the United States and/or did not use non-cancer control search terms to provide a context for interpreting the effects seen with the cancer-related terms. Using more robust statistical methods we found that no cancer search terms were significantly, or strongly correlated with melanoma incidence in 6 countries.

Indexed as

Cancer epidemiologyEpidemiology

Identifiers

PMID31304324
PMCPMC6550200

What OpenQuestion holds

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LicenceCC BY
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.