Evidence map›Paper›PMID 28324889›Full record

Trial reportBritish journal of cancer2017

Evaluation of clinicopathological factors in PD-1 response: derivation and validation of a prediction scale for response to PD-1 monotherapy.

Adi Nosrati, Katy K Tsai, Simone M Goldinger, Paul Tumeh, Barbara Grimes, Kimberly Loo, Alain P Algazi, Thi Dan Linh Nguyen-Kim, Mitchell Levesque, Reinhard Dummer and 2 more

Abstract readClinical Trial
In one paragraph

Trial report in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
–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

80 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Life Factors and Melanoma: From the Macroscopic State to the Molecular Mechanism.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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  10. Observational
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  19. Recent therapeutics in hepatocellular carcinoma.American journal of cancer research · 2023
    Review
  20. Review

20 more citing papers are in PubMed but not listed here.

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.

Adi NosratiDivision of Hematology-Oncology, Department of Medicine, University of California, San Francisco, Mount Zion A-743, 1600 Divisadero Street, San Francisco, CA 94143, USA.
Katy K TsaiDivision of Hematology-Oncology, Department of Medicine, University of California, San Francisco, Mount Zion A-743, 1600 Divisadero Street, San Francisco, CA 94143, USA.
Simone M GoldingerDepartment of Dermatology, University Hospital of Zurich (USZ), University of Zurich, Gloriastrasse 31, Zürich 8091, Switzerland.
Paul TumehDivision of Dermatology, Department of Medicine, University of California Los Angeles (UCLA), 200 Medical Plaza Driveway, Los Angeles, CA 90024, USA.
Barbara GrimesDepartment of Epidemiology & Biostatistics, University of California, San Francisco, 550 16th Street, San Francisco, CA 94158, USA.
Kimberly LooDivision of Hematology-Oncology, Department of Medicine, University of California, San Francisco, Mount Zion A-743, 1600 Divisadero Street, San Francisco, CA 94143, USA.
Alain P AlgaziDivision of Hematology-Oncology, Department of Medicine, University of California, San Francisco, Mount Zion A-743, 1600 Divisadero Street, San Francisco, CA 94143, USA.
Thi Dan Linh Nguyen-KimDepartment of Interventional Radiology, University of Zurich, Rämistrasse 100, Zürich, 8091, Switzerland.
Mitchell LevesqueDepartment of Dermatology, University Hospital of Zurich (USZ), University of Zurich, Gloriastrasse 31, Zürich 8091, Switzerland.
Reinhard DummerDepartment of Dermatology, University Hospital of Zurich (USZ), University of Zurich, Gloriastrasse 31, Zürich 8091, Switzerland.
Omid HamidThe Angeles Clinic and Research Institute (TACRI), 11818 Wilshire Boulevard #200, Los Angeles, CA 90025, USA.
Adil DaudDivision of Hematology-Oncology, Department of Medicine, University of California, San Francisco, Mount Zion A-743, 1600 Divisadero Street, San Francisco, CA 94143, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnti-PD-1 therapy has shown significant clinical activity in advanced melanoma. We developed and validated a clinical prediction scale for response to anti- PD-1 monotherapy.

methodsA total of 315 patients with advanced melanoma treated with pembrolizumab (2 or 10 mg kg

resultsThe developed clinical prediction scale included elevated LDH (1 point), age <65 years (1 point), female sex (1 point), history of ipilimumab treatment (2 points) and the presence of liver metastasis (2 points). The scale had an area under the receiver-operating curve (AUC) of 0.73 (95% CI 0.67, 0.80) in predicting response to therapy. The predictive performance of the score was maintained in the validation cohort (AUC 0.70 (95% CI 0.58, 0.81)) and the goodness-to-fit model demonstrated good calibration.

conclusionsBased on a large cohort of patients, we developed and validated a simple five-factor prediction scale for the clinical activity of PD-1 antibodies in advanced melanoma patients. This scale can be used to stratify patients participating in clinical trials.

Indexed as

ImmunotherapyAgedAge FactorsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedFemaleGene Expression Regulation, NeoplasticHumansIpilimumabL-Lactate DehydrogenaseMaleMelanomaMiddle AgedNeoplasm StagingNivolumabPrognosisAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedIpilimumabL-Lactate DehydrogenaseNivolumabPDCD1 protein, humanpembrolizumabProgrammed Cell Death 1 Receptor

Identifiers

PMID28324889
PMCPMC5418446

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.