Evidence map›Paper›PMID 38625809›Full record

ArticleDatabase : the journal of biological databases and curation2024

nhanesA: achieving transparency and reproducibility in NHANES research.

Laha Ale, Robert Gentleman, Teresa Filshtein Sonmez, Deepayan Sarkar, Christopher Endres

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 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

5 authors.

Laha AleSchool of Computing and Artificial Intelligence, Southwest Jiaotong University, No. 999, Xian Rd, Pidu Dist., Chengdu, Sichuan 611756, China.ORCID 0000-0002-4070-5289
Robert GentlemanCenter for Computational Biomedicine, Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA.
Teresa Filshtein SonmezResearch Department, 23 and Me, Inc., 223 N Mathilda Ave, Sunnyvale, CA 94086, USA.
Deepayan SarkarTheoretical Statistics and Mathematics Unit, Indian Statistical Institute, 7 SJSS Marg, New Delhi 110016, India.
Christopher EndresThe Promenade Dance Studio, Inc., 2605 Lord Baltimore Drive, Windsor Mill, MD 21244, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Health and Nutrition Examination Survey provides comprehensive data on demographics, sociology, health and nutrition. Conducted in 2-year cycles since 1999, most of its data are publicly accessible, making it pivotal for research areas like studying social determinants of health or tracking trends in health metrics such as obesity or diabetes. Assembling the data and analyzing it presents a number of technical and analytic challenges. This paper introduces the nhanesA R package, which is designed to assist researchers in data retrieval and analysis and to enable the sharing and extension of prior research efforts. We believe that fostering community-driven activity in data reproducibility and sharing of analytic methods will greatly benefit the scientific community and propel scientific advancements. Database URL: https://github.com/cjendres1/nhanes.

Indexed as

Information Storage and RetrievalDatabases, FactualNutrition SurveysReproducibility of Results

Identifiers

PMID38625809
PMCPMC11020206

What OpenQuestion holds

Textmetadata
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.