Evidence map›Paper›PMID 29076140›Full record

ArticleBritish journal of haematology2018

Understanding patterns and correlates of daily pain using the Sickle cell disease Mobile Application to Record Symptoms via Technology (SMART).

Charles R Jonassaint, Chaeryon Kang, Daniel M Abrams, Jingyi J Li, Jason Mao, Yimeng Jia, Qi Long, Maureen Sanger, Jude C Jonassaint, Laura De Castro and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of haematology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

11 authors.

Charles R JonassaintSchool of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.ORCID 0000-0002-5662-5806
Chaeryon KangDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Daniel M AbramsDepartment of Engineering Sciences and Applied Mathematics, Northwestern University, Chicago, IL, USA.
Jingyi J LiDepartment of Statistics, University of California at Los Angeles, Los Angeles, CA, USA.
Jason MaoDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Yimeng JiaDepartment of Statistical Science, Duke University, Durham, NC, USA.
Qi LongDepartment of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA.
Maureen SangerSchool of Medicine, Vanderbilt University, Nashville, TN, USA.
Jude C JonassaintSchool of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Laura De CastroSchool of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Nirmish ShahDivision of Hematology, Duke University, Durham, NC, USA.

Funding

Using Technology to Deliver Evidence-Based Interventions for Pain to Patients with Sickle Cell DiseaseK23HL135396 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JONASSAINT, CHARLES RICHARD · 2017 to 2020
$597k
Improving Pain in Sickle Cell Patients With Targeted Antithrombotic TherapyK23HL119557 · NHLBI · DUKE UNIVERSITY · PI SHAH, NIRMISH R · 2015 to 2017
$449k
Use of Mobile Technology to Improve Acute Care Utilization in Sickle Cell DiseaseR21HS023989 · AHRQ · DUKE UNIVERSITY · PI SHAH, NIRMISH R · 2015 to 2016
$300k
AHRQ HHS R21 HS023989NHLBI NIH HHS K23 HL119557NHLBI NIH HHS K23 HL135396
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Mobile ApplicationsAdultAnemia, Sickle CellChronic PainFemaleHumansMaleMiddle AgedPain ManagementPain MeasurementTelemedicineVisual Analog ScaleYoung Adulthealth information technologymobile apppainpatient reported outcomessickle cell disease

Identifiers

PMID29076140
PMCPMC6541927

What OpenQuestion holds

Textmetadata
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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.