Evidence map›Paper›PMID 29776984›Full record

ArticleBlood advances2018

Impact of psychiatric comorbidities on health care utilization and cost of care in multiple myeloma.

Shehzad Niazi, Ryan D Frank, Mayank Sharma, Vivek Roy, Steve Ames, Teresa Rummans, Aaron Spaulding, Taimur Sher, Meghna Ailawadhi, Kirtipal Bhatia and 4 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Impact of depression on adherence to lenalidomide plus low-dose dexamethasone in patients with relapsed or refractory myeloma.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  7. Article
  8. A Practical Guide to Geriatric Syndromes in Older Adults With Cancer: A Focus on Falls, Cognition, Polypharmacy, and Depression.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2019
    Review
  9. 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

14 authors at 3 institutions in 1 country.

Shehzad NiaziDepartment of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL.
Ryan D FrankDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN; and.
Mayank SharmaDivision of Hematology-Oncology and.
Vivek RoyDivision of Hematology-Oncology and.
Steve AmesDepartment of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL.
Teresa RummansDepartment of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL.
Aaron SpauldingDivision of Healthcare Policy and Research, Mayo Clinic, Jacksonville, FL.
Taimur SherDivision of Hematology-Oncology and.
Meghna AilawadhiDivision of Hematology-Oncology and.
Kirtipal BhatiaDivision of Hematology-Oncology and.
Salman AhmedDivision of Hematology-Oncology and.
Winston TanDivision of Hematology-Oncology and.
Asher Chanan-KhanDivision of Hematology-Oncology and.
Sikander AilawadhiDivision of Hematology-Oncology and.
Palmetto Hematology Oncology · USMayo Clinic in Florida · USMayo Clinic · US

Funding

Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Rafael Fonseca · 2015 to 2026
$25.5M
NCI NIH HHS P50 CA186781
6 · The paper itself

Abstract

Approximately one third of cancer patients suffer from comorbid mood disorders that are associated with increased cost and poorer outcomes. The majority of patients with multiple myeloma (MM) are treated with corticosteroids; as many as three fourths of those taking corticosteroids develop neuropsychiatric complications, likely increasing morbidity and cost of care. MM patients diagnosed between 1991 and 2010 and reported in the Surveillance Epidemiology, and End Results-Medicare database were characterized as MM-Only, MM+Psychiatric (any psychiatric condition, preexisting or post-MM), or MM+Depression (depression as the only psychiatric diagnosis, preexisting or post-MM). Differences in demographic characteristics, occurrence of clinical myeloma-defining events (MDEs), health care utilization (inpatient, outpatient, ambulatory claims), and cost of care during the first 6 months of MM diagnosis were analyzed. Psychiatric comorbidities were reported more frequently in females, and racial minorities had lower rates of psychiatric comorbidities. All clinical MDEs were more common in the MM+Psychiatric and MM+Depression groups; within them, the majority were more common in patients diagnosed with the psychiatric condition or depression after MM compared with it being a preexisting condition. Health care utilization in all treatment settings was higher in those with psychiatric comorbidities. Cost of care within the first 6 months after MM diagnosis was significantly higher in the MM+Psychiatric and MM+Depression groups. This increase in cost was more pronounced for patients from racial minorities diagnosed with a psychiatric condition, including depression. Psychiatric comorbidities significantly impact the clinical presentations, health care utilization, and cost among patients with MM. These findings need to be addressed for improved survivorship of MM patients.

Indexed as

AgedAged, 80 and overComorbidityFemaleHealth Care CostsHumansMaleMental DisordersMultiple MyelomaPatient Acceptance of Health Care

Identifiers

PMID29776984
PMCPMC5965054
OpenAlexW2803295601

What OpenQuestion holds

Textmetadata
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.