Evidence map›Paper›PMID 33797639›Full record

ArticleSurgery today2021

Prediction of the tumor response and survival based on computed tomography in esophageal squamous cell carcinoma after trimodality therapy.

Ryosuke Hirohata, Yoichi Hamai, Manabu Emi, Tomoaki Kurokawa, Toru Yoshikawa, Manato Ohsawa, Kazuki Tadokoro, Morihito Okada

Abstract read
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In one paragraph

Article in Surgery today, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Ryosuke HirohataDepartment of Surgical Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan.
Yoichi HamaiDepartment of Surgical Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan. yyhamai@hotmail.com.
Manabu EmiDepartment of Surgical Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan.
Tomoaki KurokawaDepartment of Surgical Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan.
Toru YoshikawaDepartment of Surgical Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan.
Manato OhsawaDepartment of Surgical Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan.
Kazuki TadokoroDepartment of Surgical Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan.
Morihito OkadaDepartment of Surgical Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan.
Hiroshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePredicting the response to neoadjuvant chemoradiotherapy (NCRT) and the prognosis of esophageal squamous cell carcinoma (ESCC) is challenging. This study evaluated the potential of a preoperative computed tomography (CT) analysis for predicting the pathological response and survival of patients with ESCC who received trimodality therapy.

methodsA total of 119 patients with cT3 or T4 ESCC who underwent surgery following NCRT between 2007 and 2019 were assessed. The CT-based parameters were measured with enhanced CT preoperatively, prior to and during treatment. Associations between these parameters and the pathologic response, as well as the prognosis, were examined.

resultsPretreatment maximum CT value (p = 0.009), pretreatment mean CT value (p = 0.022), preoperative whole tumor volume (WTV, p = 0.003), preoperative largest cross section (LCS, p = 0.002), ΔLCS (pretreatment to preoperative, p = 0.004), ΔWTV (pretreatment to preoperative, p = 0.012), and Δmean CT value (pretreatment to preoperative, p = 0.012) of the primary lesion were significantly associated with a good pathological response. A Cox-regression analysis of recurrence-free survival (RFS) and overall survival (OS) showed that preoperative LCS was an independent CT-based predictor. RFS and OS were significantly higher at the optimal cut-off value of the preoperative LCS (p = 0.036 and p = 0.016, respectively).

conclusionsCT-based parameters are thus considered to be valuable predictors of the tumor response and survival after trimodality therapy for ESCC.

Indexed as

Neoadjuvant TherapyCarcinoma, Squamous CellCombined Modality TherapyEsophageal NeoplasmsFemaleForecastingHumansMalePrognosisSurvival RateTomography, X-Ray ComputedTreatment OutcomeComputed tomographyEsophagusNeoadjuvant therapySquamous cell carcinomaTumor response

Identifiers

PMID33797639
OpenAlexW3149033031

What OpenQuestion holds

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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.