Evidence map›Paper›PMID 36931677›Full record

Observational studyBMJ open2023

Trends in antineoplastic drug use, cost and prescribing patterns among patients with lung cancer in nine major cities of China, 2016-2020: a retrospective observational study based on inpatient and outpatient hospital data.

Jingyuan Shang, Lixin Zhou, Lin Huang, Feng Yang, Yanguo Liu, Chunyan Zhang, Li'an Zu, Rongrong Fan, Xiaohong Zhang, Yi Liu and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Current status and trends of anti-tumor biosimilars in China from 2019 to 2023: A cross-sectional analysis.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
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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

11 authors at 2 institutions in 2 countries.

Jingyuan Shang *Department of Pharmacy, Peking University People's Hospital, Beijing, China.ORCID 0000-0002-9208-4680
Lixin Zhou *Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Lin HuangDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Feng YangDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Yanguo LiuDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Chunyan ZhangDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Li'an ZuDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Rongrong FanDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Xiaohong ZhangDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Yi LiuDepartment of Pharmacy, Peking University People's Hospital, Beijing, China lyi1267@126.com fengyufei@126.com.
Yufei FengDepartment of Pharmacy, Peking University People's Hospital, Beijing, China lyi1267@126.com fengyufei@126.com.
Peking University · CNShenyang Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIt is unclear whether the use of antineoplastic drugs for patients with lung cancer in China has changed after the implementation of the national drug price negotiation in 2016 and continual update of clinical guidelines. This study aims to evaluate the trends in antineoplastic drug use, cost and prescribing patterns among patients with lung cancer in major cities of China.

designWe conducted a retrospective observational study using data from January 2016 to December 2020.

settingThis study used prescription records based on inpatient and outpatient hospital data from 97 hospitals in 9 major cities of China.

participantsA total of 218 325 antineoplastic drug prescriptions in patients with lung cancer were retrospectively collected from the Hospital Prescription Analysis Cooperative Project during the study period. OUTCOME MEASURES: Trends in antineoplastic drug use, cost and prescribing patterns among patients with lung cancer.

resultsThe yearly antineoplastic prescriptions increased by 85.6% from 28 594 in 2016 to 53 063 in 2020 (Z=1.71, p=0.086). Significant increases were seen in the prescriptions for protein kinase inhibitors (PKIs) and monoclonal antibodies (mAbs), whereas significant decreases were observed in antimetabolites, plant alkaloids and platinum compounds. The yearly cost increased progressively by 145.0% from ¥113.6 million in 2016 to ¥278.3 million in 2020 (Z=2.20, p=0.027). The top three anticancer drug classes in terms of total cost were PKIs, antimetabolites and mAbs. In prescribing patterns of antineoplastic agents for lung cancer, monotherapy, and triple or more drug combinations gradually increased, while dual combinations decreased significantly from 30.8% to 19.6%.

conclusionsPrescription practices among patients with lung cancer in China underwent major changes during the study period. The observed trends can aid in understanding the present medication use status of patients with lung cancer in China and provide information for future drug management.

Indexed as

Antineoplastic AgentsLung NeoplasmsAntimetabolitesChinaCitiesDrug PrescriptionsHospitalsHumansInpatientsOutpatientsPractice Patterns, Physicians'Retrospective StudiesAntimetabolitesAntineoplastic Agentsadult thoracic medicineepidemiologyoncology

Identifiers

PMID36931677
PMCPMC10030656
OpenAlexW4327811487

What OpenQuestion holds

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Registered trials

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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.