Evidence map›Paper›PMID 37597870›Full record

Observational studyBMJ open2023

Construction and validation of a risk prediction model for perianal infection in patients with haematological malignancies during chemotherapy: a prospective study in a tertiary hospital in China.

Yingli Wang, Yuqin Luo, Yamei Leng, Mei Yang, Taoyun Liang, Ting Niu

Open access · goldAbstract readObservational StudyValidation 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Anorectal Complications in Acute Leukaemia:Sultan Qaboos University medical journal · 2026
    Article
  3. 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 at 1 institution in 1 country.

Yingli WangDepartment of Hematology, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Yuqin LuoDepartment of Hematology, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Yamei LengDepartment of Hematology, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Mei YangDepartment of Hematology, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Taoyun LiangDepartment of Hematology, Sichuan University West China Hospital, Chengdu, Sichuan, China.ORCID 0000-0002-1844-2777
Ting NiuDepartment of Hematology, Sichuan University West China Hospital, Chengdu, Sichuan, China niuting@wchscu.cn.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPerianal infection is a serious complication in patients undergoing chemotherapy for haematological malignancies. Therefore, we aimed to develop a predictive model to help medical staff promptly screen patients at a high risk of perianal infection during chemotherapy.

designThis was a single-centre prospective observational study.

settingThis study was conducted in a tertiary teaching hospital in Chengdu, China.

participantsThe study sample comprised 850 patients with haematological malignancies who underwent chemotherapy at the department of haematology or our hospital between January 2021 and June 2022.

interventionsThe included patients were randomly divided into training and validation groups in a 7:3 ratio. Based on the discharge diagnosis, patients with perianal infection were selected as the case group and the other patients were selected as the control group. OUTCOME MEASURE: The main outcome measure was the occurrence of perianal infections.

resultsA predictive model for perianal infections was established. A history of perianal infection, haemorrhoids, constipation and duration of diarrhoea were independent risk factors. The area under the curve of the The area under the receiver operating characteristic (ROC) curve for the training and validation groups were 0.784 (95% CI 0.727 to 0.841) and 0.789 (95% CI 0.818 to 0.885), respectively. Additionally, the model had good calibration in both the training and validation groups with a non-significant Hosmer-Lemeshow test (p=0.999 and 0.482, respectively).

conclusionsThe risk prediction model, including a history of perianal infection, history of haemorrhoids, constipation and duration of diarrhoea ≥3 days of perianal infection in patients with haematological malignancies during chemotherapy, has good prediction reliability and can be helpful in guiding clinical medical staff in screening and early intervention of high-risk groups.

Indexed as

Communicable DiseasesHematologic NeoplasmsHemorrhoidsChinaConstipationDiarrheaHospitals, TeachingHumansProspective StudiesReproducibility of ResultsTertiary Care Centerschemotherapyinfection controlnursing careoncologyrisk factors

Identifiers

PMID37597870
PMCPMC10441103
OpenAlexW4386003084

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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.