Evidence map›Paper›PMID 37925551›Full record

ArticleScientific reports2023

Comparison of the prognostic impact of IPI and PIT in peripheral T-cell lymphoma in real-world practice with a large elderly population.

Nobuhiko Nakamura, Nobuhiro Kanemura, Takuro Matsumoto, Hiroshi Nakamura, Yoshikazu Ikoma, Yuhei Shibata, Junnichi Kitagawa, Senji Kasahara, Toshiki Yamada, Michio Sawada and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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 22% 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, 4 citations in OpenAlex.

  1. Article
  2. 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

20 authors at 6 institutions in 1 country.

Nobuhiko NakamuraDepartment of Hematology and Infectious Disease, Gifu University Hospital, Gifu, Japan. nakamura.nobuhiko.s1@f.gifu-u.ac.jp.
Nobuhiro KanemuraDepartment of Hematology and Infectious Disease, Gifu University Hospital, Gifu, Japan.
Takuro MatsumotoDepartment of Hematology and Infectious Disease, Gifu University Hospital, Gifu, Japan.
Hiroshi NakamuraDepartment of Hematology and Infectious Disease, Gifu University Hospital, Gifu, Japan.
Yoshikazu IkomaDepartment of Hematology and Infectious Disease, Gifu University Hospital, Gifu, Japan.
Yuhei ShibataDepartment of Hematology, Gifu Municipal Hospital, Gifu, Japan.
Junnichi KitagawaDepartment of Hematology, Gifu Municipal Hospital, Gifu, Japan.
Senji KasaharaDepartment of Hematology, Gifu Municipal Hospital, Gifu, Japan.
Toshiki YamadaDepartment of Hematology, Gifu Prefectural General Medical Center, Gifu, Japan.
Michio SawadaDepartment of Hematology, Gifu Red Cross Hospital, Gifu, Japan.
Yuto KanedaDepartment of Hematology and Infectious Disease, Gifu University Hospital, Gifu, Japan.
Kenji FukunoDepartment of Hematology, Takayama Red Cross Hospital, Takayama, Japan.
Eri TakadaDepartment of Hematology, Gihoku Kosei Hospital, Yamagata, Japan.
Hideko GotoDepartment of Hematology, Chuno Kosei Hospital, Seki, Japan.
Shin LeeDepartment of Hematology, Matsunami General Hospital, Gifu, Japan.
Kei FujitaDepartment of Hematology, Matsunami General Hospital, Gifu, Japan.
Tetsuji MorishitaDepartment of Hematology, Matsunami General Hospital, Gifu, Japan.
Takeshi HaraDepartment of Hematology, Matsunami General Hospital, Gifu, Japan.
Hisashi TsurumiDepartment of Hematology and Infectious Disease, Gifu University Hospital, Gifu, Japan.
Masahito ShimizuDepartment of Hematology and Infectious Disease, Gifu University Hospital, Gifu, Japan.
Gifu University Hospital · JPMatsunami General Hospital · JPGifu Municipal Hospital · JPGifu Prefectural General Medical Center · JPGifu Red Cross Hospital · JPTakayama Red Cross Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared the predictive ability of the International Prognostic Index (IPI), a frequently used prognostic model for peripheral T-cell lymphoma (PTCL), with that of a type-specific prognostic model, the Prognostic Index for PTCL-U (PIT). We retrospectively analyzed 113 patients diagnosed with PTCL. The median age was 67 years (range, 16-88 years), 75 patients (66%) were male, and the most common disease type was PTCL, not otherwise specified (69%). With a median follow-up of 6.8 years (interquartile range, 2.7-9.9 years), 5-year survival rates for the four groups in IPI were 85%, 62%, 49%, and 13%, respectively. Similarly, 5-year survival rates for the four groups in PIT were 83%, 64%, 49%, and 19%, respectively. The area under the receiving operating characteristic curve for predicting mortality from PIT (0.725) was not significantly different from that from the IPI (0.685, P = 0.134). Multivariable analysis showed that performance status ≥ 2 (P < 0.0001) and extranodal lesions ≥ 2 (P = 0.029) were significantly associated with lower overall survival. The present study found no significant difference in prognostic ability between the IPI and PIT for PTCL, and both models appear useful as predictive models.

Indexed as

Lymphoma, T-Cell, PeripheralAgedFemaleHumansMalePrognosisRetrospective StudiesSurvival Rate

Identifiers

PMID37925551
PMCPMC10625631
OpenAlexW4388340801

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.