Evidence map›Paper›PMID 42787301›Full record

ReviewClinical and translational radiation oncology2027

Concurrent versus sequential immune checkpoint inhibition in the neoadjuvant treatment of resectable esophageal squamous cell carcinoma: a systematic review and meta-analysis.

Reza Ghalehtaki, Alireza Shariati, Taher Fanihagh, Zahra Moradi, Niloofar Moradi

Abstract readReview
In one paragraph

Review in Clinical and translational radiation oncology, 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Reza GhalehtakiDepartment of Radiation Oncology, Cancer Institute, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Alireza ShariatiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Taher FanihaghSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Zahra MoradiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Niloofar MoradiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitors (ICIs) are increasingly integrated into the neoadjuvant treatment of resectable esophageal squamous cell carcinoma (ESCC), yet the optimal timing of ICI administration remains undefined. We conducted the first systematic review and meta-analysis directly comparing these two strategies. Methods: PubMed, Embase, and Scopus were searched from inception through April 2026. Prospective studies enrolling adult patients with non-metastatic resectable ESCC who received neoadjuvant ICI alongside chemotherapy or chemoradiotherapy were eligible. Pooled pathological complete response (pCR) and major pathological response (MPR) were analyzed using random-effects models. Results: Fifty-three prospective studies (2937 patients) were included. In the primary analysis, consolidation ICI was associated with significantly higher pCR than concurrent ICI (48% vs. 31%; Conclusions: When matched for treatment backbone, concurrent and consolidation ICI timing produce comparable pathological response rates in resectable ESCC. Randomized trials with pre-specified timing arms and biomarker stratification are warranted.

Indexed as

Esophageal squamous cell carcinomaImmune checkpoint inhibitorsMajor pathological responseNeoadjuvant chemoradiotherapyPathological complete responseSystematic review and meta-analysisTreatment sequencing

Identifiers

PMID42787301
PMCPMC13601065

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.