Evidence map›Paper›PMID 32104669›Full record

ReviewJournal of hepatocellular carcinoma2020

The Immune Modulation Effect of Locoregional Therapies and Its Potential Synergy with Immunotherapy in Hepatocellular Carcinoma.

Prabhsimranjot Singh, Sudhamshi Toom, Akshay Avula, Vivek Kumar, Osama E Rahma

Open access · goldAbstract readReview
In one paragraph

Review in Journal of hepatocellular carcinoma, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

70 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Future perspectives on immunotherapy for hepatocellular carcinoma.Therapeutic advances in medical oncology · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

10 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Prabhsimranjot SinghMedical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Sudhamshi ToomHematology and Oncology, Maimonides Medical Center, Brooklyn, NY, USA.ORCID 0000-0001-9034-5851
Akshay AvulaPulmonary and Critical Care, Staten Island University Hospital, Staten Island, NY, USA.
Vivek KumarDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0003-4379-5651
Osama E RahmaMedical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Brigham and Women's Hospital · USMaimonides Medical Center · USStaten Island University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Locoregional therapies (LRTs) including radiofrequency ablation, surgical resection, and TACE, play a pivotal role in the treatment of early stage/locally advanced hepatocellular carcinoma (HCC). Besides their direct effect on tumor cells, LRTs also play an essential role in the immunomodulation of the tumor microenvironment which is of interest in the current era of cancer immunotherapy. In this review, we describe the HCC immune microenvironment and how it is affected by LRTs as described in multiple pre-clinical and clinical studies and provide the rationale for combining LRTs with immunotherapy.

Indexed as

hepatocellular carcinomaimmunotherapylocoregional therapies

Identifiers

PMID32104669
PMCPMC7022138
OpenAlexW3004910654

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.