Evidence map›Paper›PMID 34168333›Full record

ReviewNature reviews. Clinical oncology2021

Selecting the optimal immunotherapy regimen in driver-negative metastatic NSCLC.

Michael J Grant, Roy S Herbst, Sarah B Goldberg

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 170 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed, 3 pooled it
20.0field-weighted citation impact, top 1% 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

170 citing papers in PubMed, 3 syntheses or guidelines pooled it, 263 citations in OpenAlex.

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110 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

3 authors at 1 institution in 1 country.

Michael J GrantDepartment of Medicine (Medical Oncology), Yale School of Medicine, Yale Cancer Center, New Haven, CT, USA.
Roy S HerbstDepartment of Medicine (Medical Oncology), Yale School of Medicine, Yale Cancer Center, New Haven, CT, USA.
Sarah B GoldbergDepartment of Medicine (Medical Oncology), Yale School of Medicine, Yale Cancer Center, New Haven, CT, USA. sarah.goldberg@yale.edu.
Yale Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment landscape of driver-negative non-small-cell lung cancer (NSCLC) is rapidly evolving. Immune-checkpoint inhibitors, specifically those targeting PD-1 or PD-L1, have demonstrated durable efficacy in a subset of patients with NSCLC, and these agents have become the cornerstone of first-line therapy. Approved immunotherapeutic strategies for treatment-naive patients now include monotherapy, immunotherapy-exclusive regimens or chemotherapy-immunotherapy combinations. Decision making in this space is complex given the absence of head-to-head prospective comparisons, although a thorough analysis of long-term efficacy and safety data from pivotal clinical trials can provide insight into the optimal management of each subset of patients. Indeed, histological subtype and the extent of tumour cell PD-L1 expression are paramount to regimen selection, although other clinicopathological factors and patient preferences might also be relevant in certain scenarios. Finally, several emerging biomarkers and novel therapeutic strategies are currently under investigation, and these might further refine the current treatment paradigm. In this Review, we discuss the current treatment landscape and detail our approach to first-line immunotherapy regimen selection for patients with advanced-stage, driver-negative NSCLC.

Indexed as

Antibodies, MonoclonalCarcinoma, Non-Small-Cell LungHumansImmunotherapyLung NeoplasmsMolecular Targeted TherapyProgrammed Cell Death 1 ReceptorAntibodies, MonoclonalProgrammed Cell Death 1 Receptor

Identifiers

PMID34168333
OpenAlexW3175170112

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.