Evidence map›Paper›PMID 35812689›Full record

ArticleWorld journal of clinical cases2022

Treatment of gastric hepatoid adenocarcinoma with pembrolizumab and bevacizumab combination chemotherapy: A case report.

Mei Liu, Cheng Luo, Zong-Zhou Xie, Xun Li

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2022. 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
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Consideration on immunotherapy of liver metastases of malignant tumors.World journal of gastrointestinal surgery · 2024
    Article
  4. Hepatoid adenocarcinoma of the lung: A case report.World journal of clinical cases · 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

4 authors at 2 institutions in 1 country.

Mei LiuDepartment of Medical Oncology, Haikou People's Hospital, Haikou 570100, Hainan Province, China.
Cheng LuoDepartment of Gynecology, Hainan Hospital of Chinese People's Liberation Army General Hospital, Sanya 572013, Hainan Province, China.
Zong-Zhou XieDepartment of Medical Oncology, Haikou People's Hospital, Haikou 570100, Hainan Province, China.
Xun LiDepartment of Medical Oncology, Haikou People's Hospital, Haikou 570100, Hainan Province, China. 1984661032@qq.com.
Haikou City People's Hospital · CNHainan 301 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric hepatoid adenocarcinoma (GHA) is a rare and aggressive cancer that is characterized by foci with features of both hepatocellular differentiation and adenomatous differentiation. However, there is currently no standard treatment for this disease, which has a poor prognosis. CASE SUMMARY: A 72-year-old male with a body mass index of 20.9 was diagnosed with GHA with perigastric lymph node and liver metastasis. He underwent first-line chemotherapy but that failed. Pembrolizumab and bevacizumab with chemotherapy were used in the second-line treatment. The progression-free survival and overall survival were 14 mo and 16 mo, respectively, after treatment. In addition, the main adverse reaction was tolerable. The patient did not die of tumor progression.

conclusionThe combination of pembrolizumab and bevacizumab with chemotherapy is an effective and safe regimen for GHA and may be recommended as a new choice for GHA treatment. Further studies should evaluate this treatment in a larger cohort or a randomized controlled trial.

Indexed as

Case reportChemotherapyGastric hepatoid adenocarcinomaImmunotherapySerumTargeted therapy

Identifiers

PMID35812689
PMCPMC9210915
OpenAlexW4281897293

What OpenQuestion holds

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LicenceCC BY-NC
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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.