Evidence map›Paper›PMID 38854945›Full record

ReviewTranslational lung cancer research2024

Potential predictors of the pathologic response after neoadjuvant chemoimmunotherapy in resectable non-small cell lung cancer: a narrative review.

Kyoichi Kaira, Yoshinobu Ichiki, Hisao Imai, Tomonori Kawasaki, Kosuke Hashimoto, Ichiei Kuji, Hiroshi Kagamu

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. The utility ofCancer imaging : the official publication of the International Cancer Imaging Society · 2024
    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

7 authors.

Kyoichi KairaDepartment of Respiratory Medicine, International Medical Center, Saitama Medical University, Hidaka, Saitama, Japan.ORCID https://orcid.org/0000-0001-5548-7686
Yoshinobu IchikiDepartment of General Thoracic Surgery, International Medical Center, Saitama Medical University, Hidaka, Saitama, Japan.
Hisao ImaiDepartment of Respiratory Medicine, International Medical Center, Saitama Medical University, Hidaka, Saitama, Japan.
Tomonori KawasakiDepartment of Diagnostic Pathology, International Medical Center, Saitama Medical University, Hidaka, Saitama, Japan.
Kosuke HashimotoDepartment of Respiratory Medicine, International Medical Center, Saitama Medical University, Hidaka, Saitama, Japan.
Ichiei KujiDepartment of Nuclear Medicine, International Medical Center, Saitama Medical University, Hidaka, Saitama, Japan.
Hiroshi KagamuDepartment of Respiratory Medicine, International Medical Center, Saitama Medical University, Hidaka, Saitama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Neoadjuvant chemoimmunotherapy (NACI) is the standard of care for patients with resectable non-small cell lung cancer (NSCLC). Although the pathological complete response (pCR) after NACI reportedly exceeds 20%, an optimal predictor of pCR is yet to be established. This review aims to examine the possible predictors of pCR after NACI. Methods: We identified research article published between 2018 and 2022 in English by the PubMed database. Fifty research studies were considered as relevant article, and were examined to edit information for this narrative review. Key Content and Findings: Recently, several studies have explored potential biomarkers for the pathological response after NACI. For example, Conclusions: A reduced rate of

Indexed as

lung cancerneoadjuvant chemoimmunotherapy (NACI)Pathological complete response (pCR)predictive marker

Identifiers

PMID38854945
PMCPMC11157365

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.