Evidence map›Paper›PMID 39649101›Full record

SynthesisFrontiers in surgery2024

Prognosis prediction using significant pathological response following neoadjuvant immunotherapy in resectable non-small-cell lung tumors: a meta-analysis.

Fang Nie, Ying Wang, Wanting Shi, Liru Zhu, Jing Hao, Rancen Tao

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

6 authors.

Fang Nie *Thoracic Oncology Department, Baotou Cancer Hospital, Baotou, Inner Mongolia, China.
Ying Wang *Oncology and Palliative Care Department, Baotou Cancer Hospital, Baotou, Inner Mongolia, China.
Wanting ShiThoracic Oncology Department, Baotou Cancer Hospital, Baotou, Inner Mongolia, China.
Liru ZhuOncology and Palliative Care Department, Baotou Cancer Hospital, Baotou, Inner Mongolia, China.
Jing HaoOncology and Palliative Care Department, Baotou Cancer Hospital, Baotou, Inner Mongolia, China.
Rancen TaoThoracic Oncology Surgery Department, Baotou Cancer Hospital, Baotou, Inner Mongolia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A meta-analysis study was done to figure out how to predict the prognosis of people with resectable non-small-cell lung cancer (NSCLC) who had a significant pathological response following neoadjuvant immunotherapy. Methods: Up until August 2024, a comprehensive literature study was completed, and 2,386 connected studies were revised. The 35 selected studies included 3,118 resectable non-small-cell lung tumor participants at the beginning of the study. Using dichotomous techniques and a fixed or random model, the odds ratio (OR) and 95% confidence intervals (CIs) were used to assess the prediction using significant pathological response following neoadjuvant immunotherapy in resectable NSCLC. Results: Individuals with resectable NSCLC had significantly higher major pathological response when comparing neoadjuvant chemo-immunotherapy to neoadjuvant chemotherapy (OR, 5.07; 95% CI, 4.09-6.27, Conclusion: Individuals with resectable NSCLCs had significantly higher major pathological response when comparing neoadjuvant chemo-immunotherapy to neoadjuvant chemotherapy, objective response rate to non-objective response rate, and programmed death-ligand 1≥1% to programmed death-ligand 1 ≤1%, however, no significant difference was found between stage III and stage I-II, and squamous cell cancer and non-squamous cell cancer. To validate this discovery, more research is required since most of the selected studies had a low sample size, and caution must be implemented when interacting with its values.

Indexed as

neoadjuvant immunotherapypathological responseprognosis predictionprogrammed death-ligand 1resectable non-small-cell lung tumorsstage

Identifiers

PMID39649101
PMCPMC11621048

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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.