Evidence map›Paper›PMID 36465776›Full record

ReviewCureus2022

Limitations of Immunotherapy in Cancer.

Sanya Gupta, Samarth Shukla

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.2field-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

21 citing papers in PubMed, 42 citations in OpenAlex.

  1. Immunotherapy for Cancer: Current Advances and Future Directions.International journal of molecular sciences · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. 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

2 authors at 1 institution in 1 country.

Sanya GuptaDepartment of Pathology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND.
Samarth ShuklaDepartment of Pathology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND.
Datta Meghe Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite primary advancements in medication, cancer continues to be one of the main reasons for death globally. Techniques for immunotherapy against malignant improvement are rising as fantastic treatments for this setback. The rapid development of modern immunotherapeutics has inspired a decrease in stubborn malignancies and led to an emotional improvement in patient endurance. However, a giant barrier to these ongoing treatment modalities is an anomaly in clinical response, specifically articulated amongst targeted spot inhibition, chimeric antigen receptor (CAR) T-cell therapy, oncolytic infections, and recombinant cytokines emerging since sickness cells use a variety of structures to avert immunosurveillance. Other challenges encompass the lack of ability to predict the efficacy of the therapy and the response of the patient, the want for additional biomarkers, the improvement of immunity in opposition to malignant boom immunotherapies, the absence of medical assessment plans that are up-to-date to decide sufficiency, and high therapy costs. The therapy for middle-stage malignant growth and the top five difficulties, setbacks, and drawbacks of immunotherapy are examined in this audit.

Indexed as

cancercancer immunotherapycost efficacyimmunotoxicitylimitationstumour

Identifiers

PMID36465776
PMCPMC9708058
OpenAlexW4307961328

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.