Evidence map›Paper›PMID 30654029›Full record

ArticleJournal of biomedical informatics2019

Temporal biomedical data analytics.

Robert Moskovitch, Yuval Shahar, Fei Wang, George Hripcsak

Abstract readEditorial
In one paragraph

Article in Journal of biomedical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. 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

4 authors.

Robert MoskovitchDepartment of Information Systems Engineering, Ben Gurion University of the Negev, Beersheba, Israel. Electronic address: robertmo@bgu.ac.il.
Yuval ShaharDepartment of Information Systems Engineering, Ben Gurion University of the Negev, Beersheba, Israel. Electronic address: yshahar@bgu.ac.il.
Fei WangDepartment of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, New York, NY, USA.
George HripcsakDepartment of Biomedical Informatics, Columbia University, New York, NY, USA. Electronic address: hripcsak@columbia.edu.

Funding

DISCOVERING AND APPLYING KNOWLEDGE IN CLINICAL DATABASESR01LM006910 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HRIPCSAK, GEORGE M · 2000 to 2023
$10.6M
The benefits and harms of lung cancer screening in FloridaR01CA246418 · NCI · UNIVERSITY OF FLORIDA · PI BIAN, JIANG, GUO, YI · 2020 to 2023
$1.7M
Using Electronic Health Records from a Large Clinical Data Research Network to Understand Cancer Burden and Cancer Risks Among Transgender and Gender Nonconforming (TGNC) IndividualsR21CA245858 · NCI · UNIVERSITY OF FLORIDA · PI BIAN, JIANG, GUO, YI · 2020 to 2021
$773k
Optimizing the Population Representativeness of Older Adults in Cancer TrialsR21CA253394 · NCI · UNIVERSITY OF FLORIDA · PI BIAN, JIANG, GUO, YI · 2021 to 2021
$392k
NCI NIH HHS R01 CA246418NCI NIH HHS R21 CA245858NCI NIH HHS R21 CA253394NLM NIH HHS R01 LM006910
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Data MiningMedical InformaticsTime

Identifiers

PMID30654029
PMCPMC9745669

What OpenQuestion holds

Textmetadata
LicenceTDM
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.