Evidence map›Paper›PMID 35936828›Full record

ArticleMDM policy & practice

Estimating Productivity Loss from Breast and Non-Small-Cell Lung Cancer among Working-Age Patients and Unpaid Caregivers: A Survey Study Using the Multiplier Method.

Kevin Chiu, Joanna P MacEwan, Suepattra G May, Katalin Bognar, Desi Peneva, Lauren M Zhao, Candice Yong, Suvina Amin, Bjorn Bolinder, Katharine Batt and 1 more

Open access · goldAbstract read
In one paragraph

Article in MDM policy & practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Returning to Work after Breast Cancer: A One-Year Mixed-Methods Study.International journal of environmental research and public health · 2024
    Article
  5. Review
  6. Article
  7. 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 at 1 institution in 1 country.

Kevin ChiuPRECISIONheor, New York, NY, USA.ORCID https://orcid.org/0000-0003-2584-3736
Joanna P MacEwanPRECISIONheor, New York, NY, USA.ORCID https://orcid.org/0000-0003-2702-1170
Suepattra G MayPRECISIONheor, New York, NY, USA.ORCID https://orcid.org/0000-0002-7228-8440
Katalin BognarPRECISIONheor, New York, NY, USA.
Desi PenevaPRECISIONheor, New York, NY, USA.
Lauren M ZhaoPRECISIONheor, New York, NY, USA.
Candice YongAstraZeneca, Inc., Gaithersburg, MD, USA.
Suvina AminAstraZeneca, Inc., Gaithersburg, MD, USA.
Bjorn BolinderAstraZeneca, Inc., Gaithersburg, MD, USA.
Katharine BattPRECISIONheor, New York, NY, USA.
James R BaumgardnerPRECISIONheor, New York, NY, USA.ORCID https://orcid.org/0000-0001-8416-3410
AstraZeneca (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highlights: Cancer can have a profound impact on productivity. This study demonstrates how the disease affects not only patients but also the informal or unpaid individuals who care for patients.An augmented approach to calculating health-related productivity loss suggests that productivity impacts are much larger than previously understood.A more comprehensive understanding of the economic burden of cancer for both patients and their caregivers suggests the need for more support in the workplace for these individuals and a holistic approach to accounting for these impacts in treatment decision making.

Indexed as

breast cancerhuman capital methodlung cancermultiplier methodproductivity loss

Identifiers

PMID35936828
PMCPMC9354140
OpenAlexW4289545975

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.