Evidence map›Paper›PMID 39508134›Full record

ArticleCancer medicine2024

Pan-Cancer Survival Impact of Immune Checkpoint Inhibitors in a National Healthcare System.

Sean R Miller, Matthew Schipper, Lars G Fritsche, Ralph Jiang, Garth Strohbehn, Erkin Ötleş, Benjamin H McMahon, Silvia Crivelli, Rafael Zamora-Resendiz, Nithya Ramnath and 7 more

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Physical Exercise in Immunotherapy.Sports medicine - open · 2026
    Review
  3. Article
  4. Article
  5. DisseminatedBMJ case reports · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

17 authors.

Sean R MillerDepartment of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-5059-2209
Matthew SchipperDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
Lars G FritscheDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
Ralph JiangDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
Garth StrohbehnVeterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan, USA.
Erkin ÖtleşMedical Scientist Training Program, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Benjamin H McMahonTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, USA.
Silvia CrivelliApplied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Rafael Zamora-ResendizApplied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Nithya RamnathDivision of Medical Oncology, Department of Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Shinjae YooComputational Science Initiative, Brookhaven National Laboratory, Upton, New York, USA.
Xin DaiComputational Science Initiative, Brookhaven National Laboratory, Upton, New York, USA.
Kamya SankarDivision of Medical Oncology, Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Donna M EdwardsDepartment of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-7130-4755
Steven G AllenDepartment of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Michael D GreenDepartment of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-4951-7118
Alex K BryantDepartment of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-0194-8381

Funding

MICHIGAN MEDICAL SCIENTIST TRAINING PROGRAMT32GM007863 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLLINS, KATHLEEN L. · 1985 to 2024
$38.3M
Ablating Liver Metastases with SBRT to Enhance Immune Checkpoint Blockade in MelanomaR01CA276217 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 2023 to 2026
$2.2M
Targeting BUB 1 for radio- and immuno-sensitization of Triple Negative Breast Cancer (TNBC)R21CA252010 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GREEN, MICHAEL DANIEL, NYATI, SHYAM · 2021 to 2021
$401k
Enhancing Ferroptosis to Augment Responses to Immune Checkpoint BlockadeI01BX005267 · VA · VETERANS HEALTH ADMINISTRATION · PI GREEN, MICHAEL DANIEL · 2022 to 2025
–
BLRD VA I01 BX005267LUNGevity Foundation 2022-14Lung Precision Oncology Program VA 150CU000182Melanoma Research Alliance MRA 689853Million Veterans Program MVP064NCI NIH HHS CA252010NCI NIH HHS R01 CA276217NIGMS NIH HHS T32 GM007863
6 · The paper itself

Abstract

backgroundThe cumulative, health system-wide survival benefit of immune checkpoint inhibitors (ICIs) is unclear, particularly among real-world patients with limited life expectancies and among subgroups poorly represented on clinical trials. We sought to determine the health system-wide survival impact of ICIs.

methodsWe identified all patients receiving PD-1/PD-L1 or CTLA-4 inhibitors from 2010 to 2023 in the national Veterans Health Administration (VHA) system (ICI cohort) and all patients who received non-ICI systemic therapy in the years before ICI approval (historical control). ICI and historical control cohorts were matched on multiple cancer-related prognostic factors, comorbidities, and demographics. The effect of ICI on overall survival was quantified with Cox regression incorporating matching weights. Cumulative life-years gained system-wide were calculated from the difference in adjusted 5-year restricted mean survival times.

resultsThere were 27,322 patients in the ICI cohort and 69,801 patients in the historical control cohort. Among ICI patients, the most common cancer types were NSCLC (46%) and melanoma (10%). ICI demonstrated a large OS benefit in most cancer types with heterogeneity across cancer types (NSCLC: adjusted HR [aHR] 0.56, 95% confidence interval [CI] 0.54-0.58, p < 0.001; urothelial: aHR 0.91, 95% CI 0.83-1.01, p = 0.066). The relative benefit of ICI was stable across patient age, comorbidity, and self-reported race subgroups. Across VHA, 15,859 life-years gained were attributable to ICI within 5-years of treatment, with NSCLC contributing the most life-years gained.

conclusionWe demonstrated substantial increase in survival due to ICIs across a national health system, including in patient subgroups poorly represented on clinical trials.

Indexed as

Immune Checkpoint InhibitorsNeoplasmsAgedAged, 80 and overFemaleHumansMaleMiddle AgedUnited StatesUnited States Department of Veterans AffairsImmune Checkpoint Inhibitorscheck point controlclinical cancer researchclinical observationsimmune checkpoint inhibitors

Identifiers

PMID39508134
PMCPMC11541111

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.