Evidence map›Paper›PMID 29040602›Full record

ArticleInternational journal of epidemiology2018

Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank.

Louise A C Millard, Neil M Davies, Tom R Gaunt, George Davey Smith, Kate Tilling

Abstract read
In one paragraph

Article in International journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 8 pooled it
–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

137 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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77 more citing papers are in PubMed but not listed here.

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

5 authors.

Louise A C MillardMRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine.
Neil M DaviesMRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine.
Tom R GauntMRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine.
George Davey SmithMRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine.
Kate TillingMRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine.

Funding

Medical Research Council MC_QA137853Medical Research Council MC_UU_00011/4Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/8Medical Research Council MC_UU_12013/9
6 · The paper itself

Abstract

Motivation: Epidemiological cohorts typically contain a diverse set of phenotypes such that automation of phenome scans is non-trivial, because they require highly heterogeneous models. For this reason, phenome scans have to date tended to use a smaller homogeneous set of phenotypes that can be analysed in a consistent fashion. We present PHESANT (PHEnome Scan ANalysis Tool), a software package for performing comprehensive phenome scans in UK Biobank. General features: PHESANT tests the association of a specified trait with all continuous, integer and categorical variables in UK Biobank, or a specified subset. PHESANT uses a novel rule-based algorithm to determine how to appropriately test each trait, then performs the analyses and produces plots and summary tables. Implementation: The PHESANT phenome scan is implemented in R. PHESANT includes a novel Javascript D3.js visualization and accompanying Java code that converts the phenome scan results to the required JavaScript Object Notation (JSON) format. Availability: PHESANT is available on GitHub at [https://github.com/MRCIEU/PHESANT]. Git tag v0.5 corresponds to the version presented here.

Identifiers

PMID29040602
PMCPMC5837456

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.