Evidence map›Paper›PMID 27466799›Full record

ArticleAmerican journal of hematology2016

Patterns of opioid use in sickle cell disease.

Jin Han, Santosh L Saraf, Xu Zhang, Michel Gowhari, Robert E Molokie, Joharah Hassan, Chaher Alhandalous, Shivi Jain, Jewel Younge, Taimur Abbasi and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of hematology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Bias of Medicine in Sickle Cell Disease.Journal of general internal medicine · 2023
    Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Characterization of opioid use in sickle cell disease.Pharmacoepidemiology and drug safety · 2018
    Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Jin HanDepartment of Pharmacy Practice, College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois. jhan35@uic.edu.
Santosh L SarafComprehensive Sickle Cell Center, Section of Hematology/Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Xu ZhangComprehensive Sickle Cell Center, Section of Hematology/Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Michel GowhariComprehensive Sickle Cell Center, Section of Hematology/Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Robert E MolokieComprehensive Sickle Cell Center, Section of Hematology/Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Joharah HassanComprehensive Sickle Cell Center, Section of Hematology/Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Chaher AlhandalousComprehensive Sickle Cell Center, Section of Hematology/Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Shivi JainComprehensive Sickle Cell Center, Section of Hematology/Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Jewel YoungeDepartment of Pharmacy Practice, College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois.
Taimur AbbasiDivision of Pulmonary, Critical Care, Sleep and Allergy Medicine, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Roberto F MachadoDivision of Pulmonary, Critical Care, Sleep and Allergy Medicine, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Victor R GordeukComprehensive Sickle Cell Center, Section of Hematology/Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
University of Illinois Chicago · US

Funding

Vascular Targeting Genomic & Genetic Strategies for Acute Chest SyndromeR01HL111656 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI Roberto F. Machado · 2013 to 2026
$7.9M
HL-Phenotypic Characterization of Chronic Pain in Adults with Sickle Cell DiseaseR01HL124945 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MOLOKIE, ROBERT E, WANG, ZAIJIE JIM · 2014 to 2017
$3.2M
Computerized PAINRelievelt for Adult Sickle Cell DiseaseR01HL078536 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI WILKIE, DIANA J · 2006 to 2009
$3.1M
Genetics and Genomics of Sickle Cell Nephropathy.K23HL125984 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SARAF, SANTOSH · 2015 to 2018
$700k
NHLBI NIH HHS K23 HL125984NHLBI NIH HHS R01 HL078536NHLBI NIH HHS R01 HL111656NHLBI NIH HHS R01 HL124945
6 · The paper itself

Abstract

Pain, the hallmark complication of sickle cell disease (SCD), is largely managed with opioid analgesics in the United States, but comprehensive data regarding the long-term use of opioids in this patient population is lacking. The pain medication prescription records from a cohort of 203 SCD patients were analyzed. Twenty-five percent were not prescribed opioid medications while 47% took only short-acting opioids, 1% took only long-acting opioids, and 27% took a combination of short-acting and long-acting opioids. The median (interquartile range) daily opioid dose was 6.1 mg (1.7-26.3 mg) of oral morphine equivalents, which is lower than the published opioid use among patients with other pain syndromes. The dose of opioids correlated with the number of admissions due to vaso-occlusive crisis (VOC) (r = 0.53, P < 0.001). When the patients were grouped into quartiles based on daily dose opioid use, a logistic regression model showed that history of avascular necrosis (AVN) (OR: 2.87, 95% CI: 1.37-6.02, P = 0.005), 25-OHD levels (OR: 0.59, 95% CI: 0.38-0.93, P = 0.024) and total bilirubin concentration (OR: 0.64, 95% CI: 0.42-0.99, P = 0.043) were independently associated with opioid use quartiles. In conclusion, doses and types of opioid medications used by adult SCD patients vary widely. Our findings implicate AVN and lower vitamin D levels as factors associated with higher opioid use. They also suggest an association of higher bilirubin levels, possibly suggesting higher hemolytic rate, with lower opioid use. Am. J. Hematol. 91:1102-1106, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

AdultAnalgesics, OpioidAnemia, Sickle CellArterial Occlusive DiseasesBilirubinCohort StudiesFemaleHumansMaleMiddle AgedNecrosisPainPractice Patterns, Physicians'Time FactorsUnited StatesVitamin DAnalgesics, OpioidBilirubinVitamin D

Identifiers

PMID27466799
PMCPMC5072998
OpenAlexW2484292552

What OpenQuestion holds

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Registered trials

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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.