Evidence map›Paper›PMID 33237577›Full record

ArticleCancer2021

Laboratory-wide association study of survival with prostate cancer.

Ericka M Sohlberg, I-Chun Thomas, Jaden Yang, Kristopher Kapphahn, Kyla N Velaer, Mary K Goldstein, Todd H Wagner, Glenn M Chertow, James D Brooks, Chirag J Patel and 2 more

Open access · greenAbstract read
In one paragraph

Article in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
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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

12 authors at 4 institutions in 1 country.

Ericka M SohlbergDepartment of Urology, Stanford University School of Medicine, Stanford, California.
I-Chun ThomasVeterans Affairs Palo Alto Health Care System, Palo Alto, California.
Jaden YangQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Kristopher KapphahnQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Kyla N VelaerDepartment of Urology, Stanford University School of Medicine, Stanford, California.
Mary K GoldsteinVeterans Affairs Palo Alto Health Care System, Palo Alto, California.
Todd H WagnerVeterans Affairs Palo Alto Health Care System, Palo Alto, California.
Glenn M ChertowDepartment of Medicine, Stanford University School of Medicine, Stanford, California.
James D BrooksDepartment of Urology, Stanford University School of Medicine, Stanford, California.ORCID 0000-0003-4521-7505
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Manisha DesaiQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California.
John T LeppertDepartment of Urology, Stanford University School of Medicine, Stanford, California.ORCID 0000-0001-9980-3863
Stanford University · USVA Palo Alto Health Care System · USStanford Medicine · USHarvard University · US

Funding

Data science tools to identify robust exposure-phenotype associations for precision medicineR01ES032470 · NIEHS · HARVARD MEDICAL SCHOOL · PI MANRAI, ARJUN KUMAR, PATEL, CHIRAG J. · 2021 to 2025
$3.5M
NIEHS NIH HHS R01 ES032470
6 · The paper itself

Abstract

backgroundEstimates of overall patient health are essential to inform treatment decisions for patients diagnosed with cancer. The authors applied XWAS methods, herein referred to as "laboratory-wide association study (LWAS)", to evaluate associations between routinely collected laboratory tests and survival in veterans with prostate cancer.

methodsThe authors identified 133,878 patients who were diagnosed with prostate cancer between 2000 and 2013 in the Veterans Health Administration using any laboratory tests collected within 6 months of diagnosis (3,345,083 results). Using the LWAS framework, the false-discovery rate was used to test the association between multiple laboratory tests and survival, and these results were validated using training, testing, and validation cohorts.

resultsA total of 31 laboratory tests associated with survival met stringent LWAS criteria. LWAS confirmed markers of prostate cancer biology (prostate-specific antigen: hazard ratio [HR], 1.07 [95% confidence interval (95% CI), 1.06-1.08]; and alkaline phosphatase: HR, 1.22 [95% CI, 1.20-1.24]) as well laboratory tests of general health (eg, serum albumin: HR, 0.78 [95% CI, 0.76-0.80]; and creatinine: HR, 1.05 [95% CI, 1.03-1.07]) and inflammation (leukocyte count: HR, 1.23 [95% CI, 1.98-1.26]; and erythrocyte sedimentation rate: HR, 1.33 [95% CI, 1.09-1.61]). In addition, the authors derived and validated separate models for patients with localized and advanced disease, identifying 28 laboratory markers and 15 laboratory markers, respectively, in each cohort.

conclusionsThe authors identified routinely collected laboratory data associated with survival for patients with prostate cancer using LWAS methodologies, including markers of prostate cancer biology, overall health, and inflammation. Broadening consideration of determinants of survival beyond those related to cancer itself could help to inform the design of clinical trials and aid in shared decision making. LAY SUMMARY: This article examined routine laboratory tests associated with survival among veterans with prostate cancer. Using laboratory-wide association studies, the authors identified 31 laboratory tests associated with survival that can be used to inform the design of clinical trials and aid patients in shared decision making.

Indexed as

Cancer SurvivorsVeterans Health ServicesAgedAlkaline PhosphataseBiomarkers, TumorBlood SedimentationClinical Chemistry TestsCreatinineDiagnostic Tests, Routinegamma-GlutamyltransferaseHumansLeukocyte CountMaleNatriuretic Peptide, BrainProstate-Specific AntigenProstatic NeoplasmsAlkaline PhosphataseBiomarkers, TumorCreatininegamma-GlutamyltransferaseNatriuretic Peptide, BrainProstate-Specific AntigenSerum Albuminbiomarkerslaboratory markerslife expectancymethodsprostate cancer

Identifiers

PMID33237577
PMCPMC10245385
OpenAlexW3109136440

What OpenQuestion holds

Textmetadata
LicenceTDM
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.