Evidence map›Paper›PMID 34790843›Full record

ReviewAsia-Pacific journal of oncology nursing

Follow-up Care for Patients Receiving Immune Checkpoint Inhibitors.

Liyan Zhang, Yuhan Lu

Open access · goldAbstract readReview
In one paragraph

Review in Asia-Pacific journal of oncology nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Cervical cancer treatment and nursing considerations: Best practices for effective care.Canadian oncology nursing journal = Revue canadienne de nursing oncologique · 2025
    Article
  6. 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 2 institutions in 1 country.

Liyan ZhangDepartment of GI Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China.
Yuhan LuDepartment of Nursing, Peking University Cancer Hospital and Institute, Beijing, China.
Ministry of Education of the People's Republic of China · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid advances in cancer immunotherapy using immune checkpoint inhibitors (ICIs) have led to significantly improved survival of patients. But at the same time, it also associates with multiple immune-related adverse events (irAEs). The irAEs can affect a wide range of organs, and induce nonspecific symptoms with delayed onset and prolonged duration that is easily neglected, which may lead to life-threatening disorders. Therefore, follow-up care for patients receiving ICIs for irAEs management has become an essential competency in cancer nursing. There are several guidelines about the management of irAEs, which focused on diagnosis, grading, and treatment. However, studies on relevant follow-up care are rare. Nurses play an important role in follow-up care, whose relevant knowledge and skills are indispensable. Combined with domestic and foreign guidelines and related studies, this paper reviewed the occurrence and characteristics of irAEs and highlighted the contents, timing, models, and effects of follow-up care for patients receiving ICIs, to provide a reference for clinical nursing practice and improve the safety of immunotherapy for patients.

Indexed as

Follow-upimmune checkpoint inhibitorsimmune-related adverse events

Identifiers

PMID34790843
PMCPMC8522586
OpenAlexW3203640684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.