Evidence map›Paper›PMID 31040696›Full record

ArticleOncoTargets and therapy2019

Long-term response of metastatic renal clear cell carcinoma following a subcutaneous injection of mixed bacterial vaccine: a case report.

Jibing Chen, Youyong Lv, Feng Mu, Kecheng Xu

Open access · goldAbstract readCase Reports
In one paragraph

Article in OncoTargets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Microbiota in Tumors: From Understanding to Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  5. 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 3 institutions in 1 country.

Jibing ChenFuda Cancer Hospital of Jinan University, Guangzhou 510665, China, xukc@vip.163.com; muf1318909@163.com.
Youyong LvBeijing Cancer Hospital of Peking University, Beijing 100142, China.
Feng MuFuda Cancer Hospital of Jinan University, Guangzhou 510665, China, xukc@vip.163.com; muf1318909@163.com.
Kecheng XuFuda Cancer Hospital of Jinan University, Guangzhou 510665, China, xukc@vip.163.com; muf1318909@163.com.
Jinan University · CNFuda Cancer Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we present the case of a 56-year-old patient with renal clear cell carcinoma who developed lung metastases 13 months after nephrectomy and subsequently received tyrosine kinase inhibitor (sunitinib) and PD-1 antibody (nivolumab) immunotherapy, which failed to control the progression of the disease. The patient further developed metastases to the left pleura, bilateral hilar lymph nodes, liver, right lower kidney, scapula, left sixth rib, right tonsil, and other organs. There was severe anemia, requiring weekly blood transfusions. Karnofsky score was 30. After receiving mixed bacterial vaccine (MBV) consisting of 6 kinds of heat-inactivated bacteria plus Poly I:C, the patient's condition rapidly improved, systemic metastases gradually reduced in size or disappeared, anemia was corrected, and the patient was able to resume normal life and work. MBV treatment in the setting of failure of previous immunotherapy treatment appears to have achieved objective response for this patient with metastatic renal clear cell carcinoma, which has lasted more than 20 months.

Indexed as

metastatic renal clear cell carcinomamixed bacterial vaccine

Identifiers

PMID31040696
PMCPMC6454994
OpenAlexW2935372871

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.