Evidence map›Paper›PMID 33836386›Full record

Observational studyThe American journal of emergency medicine2021

The impact of Covid-19 on patients with suspected cancer: An analysis of ED presentation and referrals to a quick diagnosis unit.

Xavier Bosch, Aina Capdevila, Ignacio Grafia, Andrea Ladino, Pedro J Moreno, Alfonso López-Soto

Abstract readObservational Study
In one paragraph

Observational study in The American journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. 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

6 authors.

Xavier BoschDepartment of Internal Medicine, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain. Electronic address: xavbosch@clinic.cat.
Aina CapdevilaDepartment of Internal Medicine, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain.
Ignacio GrafiaDepartment of Internal Medicine, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain.
Andrea LadinoDepartment of Internal Medicine, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain.
Pedro J MorenoDepartment of Internal Medicine, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain.
Alfonso López-SotoDepartment of Internal Medicine, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatients evaluated in the emergency department (ED) who have concerning symptoms suggestive of a cancer diagnosis are mostly referred to the quick diagnosis unit of our tertiary hospital. This study analyzed the impact of the Covid-19 pandemic on the volume, disease patterns, and accessibility to essential investigations of patients with suspected cancer referred by the ED to this unit.

methodsTrends in referrals were analyzed from January 1 to July 8, 2020 and the corresponding dates of 2019. Only non-Covid-19 conditions were evaluated. Three time-based cohorts were defined: prepandemic (January 1-February 19), pandemic (February 19-April 22), and postpandemic (April 22-July 8). Along with descriptive statistics, linear regression was used to test for time trends with weekly referrals as the dependent variable.

resultsThere were 384, 193, and 450 patients referred during the prepandemic, pandemic, and postpandemic periods, respectively. Following an increasing rate, referrals decreased to unprecedented levels in the pandemic period (average weekly slope: -2.1 cases), then increasing again until near normalization. Waiting times to most diagnostic procedures including radiology, endoscopic, nuclear medicine, and biopsy/cytology during the pandemic period were significantly delayed and time-to-diagnosis was considerably longer (19.72 ± 10.37 days vs. 8.33 ± 3.94 days in prepandemic and 13.49 ± 6.45 days in postpandemic period; P < 0.001 in both). Compared to other cohorts, pandemic cohort patients were more likely to have unintentional weight loss and fever of unknown origin as referral indications while anemia and lymphadenopathy were less common. Patients from the pandemic cohort had a significantly lower rate of malignancies and higher of benign gastrointestinal disorders (40.93% vs. 19.53% and 20.89% in prepandemic and postpandemic periods, respectively; P < 0.001 in both), most notably irritable bowel disease, and of mental and behavioral disorders (15.54% vs. 3.39% and 6.00% in prepandemic and postpandemic periods, respectively; P < 0.001 in both).

conclusionsAs our hospital switched its traditional care to one focused on Covid-19 patients, recognized indicators of healthcare quality of quick diagnosis units were severely disrupted. The clinical patterns of presentation and diagnosis of the pandemic period suggested that mass media-generated mental and behavioral responses with distressing symptoms played a significant role in most of these patients.

Indexed as

AdolescentAdultAgedAged, 80 and overCOVID-19Delayed DiagnosisDiagnosis, DifferentialEmergency Service, HospitalFemaleFollow-Up StudiesHealth Services AccessibilityHumansLinear ModelsMaleMiddle AgedNeoplasmsCovid-19Hospital ambulatory medicinePandemicQuick diagnosis unitsSuspected cancer

Identifiers

PMID33836386
PMCPMC8016540

What OpenQuestion holds

Textmetadata
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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.