Evidence map›Paper›PMID 40949060›Full record

ArticleCureus2025

Impact of Anticoagulant and Antiplatelet Therapy on the National Optimal Lung Cancer Pathway (NOLCP).

Alexandra Jagla, Cyrus Daneshvar, Helen McDill, Maged Hassan

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Alexandra JaglaDepartment of Respiratory Medicine, University Hospitals Plymouth NHS Trust, Plymouth, GBR.
Cyrus DaneshvarDepartment of Respiratory Medicine, Derriford Hospital, Plymouth, GBR.
Helen McDillDepartment of Respiratory Medicine, Southmead Hospital, Bristol, GBR.
Maged HassanDepartment of Chest Diseases, Alexandria University Faculty of Medicine, Alexandria, EGY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer remains the leading cause of cancer-related mortality in the UK, with early diagnosis critical to improving survival. The National Optimal Lung Cancer Pathway (NOLCP) aims to streamline diagnosis and treatment, recently introducing a three-day direct-to-biopsy target for select patients. However, many lung cancer patients are on medications that increase the risk of bleeding (RoB), which may delay biopsy scheduling.

methodsA retrospective study was conducted at University Hospitals Plymouth NHS Trust over nine months, evaluating patients who underwent diagnostic procedures leading to a lung cancer diagnosis. Data were collected on referral times, diagnostic intervals, and RoB medication use. Statistical analysis assessed the impact of RoB medications and other factors on time to biopsy.

resultsOf 177 patients undergoing diagnostic procedures, 32 (18%) were on RoB medications, most commonly anticoagulants for atrial fibrillation. The median time from referral to biopsy was 13 days, with only five (15%) meeting the five-day target. While RoB medications did not significantly affect time from referral to biopsy, they did impact clinic-to-biopsy intervals (median 8 vs. 5 days; p=0.022). Only nine (28%) of RoB patients underwent biopsy within five days of clinic, versus 65 (50%) of others who had a final diagnosis of lung cancer. Delays were amplified in patients seen later in the week.

conclusionRoB medications were associated with meaningful delays from clinic to biopsy, challenging NOLCP's three-day biopsy target. Early identification and proactive management of these patients at triage, along with flexible procedural scheduling, are essential to reduce delays and improve diagnostic timelines.

Indexed as

anticoagulationclinical research worklung cancerlung cancer diagnosisnolcp

Identifiers

PMID40949060
PMCPMC12431790

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.